Courses – HDI CAMPUS https://www.hdicampus.edu.lk Distance Learning University Sun, 10 May 2026 06:36:33 +0000 en-US hourly 1 https://wordpress.org/?v=7.0 https://www.hdicampus.edu.lk/wp-content/uploads/2025/05/cropped-Logo1-32x32.png Courses – HDI CAMPUS https://www.hdicampus.edu.lk 32 32 Post Graduate Diploma in Education (PGDE) https://www.hdicampus.edu.lk/courses/post-graduate-diploma-in-education-pgde/ Sun, 10 May 2026 06:36:33 +0000 https://www.hdicampus.edu.lk/?post_type=courses&p=17607 Programme Overview

The programme is structured to prepare educators for modern educational environments through a combination of theoretical knowledge, practical teaching experience, educational research, and digital pedagogy. The curriculum integrates contemporary educational approaches aligned with international academic standards and professional teaching requirements.

The PGDE programme is suitable for graduates seeking careers in secondary education, higher education, technical and vocational education, educational administration, and training institutions.

Programme Details

Programme Title Post Graduate Diploma in Education
Programme Code PGDE
Qualification Level Postgraduate Diploma
Duration 01 Academic Year
Total Credits 60 Credits
Mode of Study Full-Time / Weekend / Online / Hybrid
Medium of Instruction English
Teaching Practice Included
Research Component Included
Assessment Method Coursework + Examinations + Teaching Practice + Viva Test

Programme Objectives

The programme aims to:

  • Develop professional teaching competencies among graduates
  • Enhance knowledge in educational psychology and curriculum development
  • Promote learner-centered teaching methodologies
  • Strengthen classroom management and educational leadership skills
  • Integrate educational technology into teaching and learning
  • Provide supervised teaching practice experience
  • Develop educational research and reflective teaching skills

Programme Structure

Semester I

Module Code Module Title Credits
PGDE 101 Foundations of Education 5
PGDE 102 Educational Psychology 5
PGDE 103 Curriculum Studies and Instructional Design 5
PGDE 104 Teaching Methodologies 5
PGDE 105 Educational Technology and Digital Pedagogy 5
PGDE 106 Sociology and Philosophy of Education 5

Semester I Total: 30 Credits

Semester II

Module Code Module Title Credits
PGDE 201 Assessment and Evaluation in Education 5
PGDE 202 Classroom Management and Guidance 5
PGDE 203 Inclusive and Special Needs Education 5
PGDE 204 Educational Administration and Leadership 5
PGDE 205 Research Methods in Education 5
PGDE 206 Teaching Practice and Action Research Project 5

Semester II Total: 30 Credits

Teaching Practice

The programme includes a compulsory supervised Teaching Practice component designed to provide practical classroom experience in real educational settings.

Teaching Practice Requirements

  • Minimum 12 weeks supervised teaching practice
  • Classroom observation and lesson delivery
  • Teaching portfolio submission
  • Supervisor evaluations
  • School administration assessment
  • Final Viva Test

Assessment Structure

Assessment Component Weightage
Assignments 20%
Presentations 10%
Mid Semester Examinations 20%
Teaching Practice 20%
Final Examinations 20%
Research Project and Viva Test 10%

Entry Requirements

Applicants should possess:

  • A recognized Bachelor’s Degree in any discipline
    OR
  • An equivalent qualification accepted by the University

Career Opportunities

Graduates of the programme may pursue careers as:

  • Teachers and Educators
  • Lecturers and Academic Instructors
  • Educational Administrators
  • Curriculum Developers
  • Education Officers
  • Academic Coordinators
  • School Administrators
  • Online Learning Facilitators
  • Educational Researchers

Learning Outcomes

Upon successful completion of the programme, graduates will be able to:

  • Apply modern teaching methodologies effectively
  • Design learner-centered educational activities
  • Manage classrooms professionally and ethically
  • Utilize educational technology in teaching practice
  • Conduct classroom-based educational research
  • Evaluate student learning using appropriate assessment methods
  • Demonstrate leadership in educational environments

Credit Distribution

Learning Component Learning Hours Credits
Lectures and Tutorials 450 20
Independent Learning 450 15
Teaching Practice 300 10
Research and Project Work 300 10
Assessments and Examinations 150 5

Total Learning Hours: 1650
Total Credits: 60 Credits

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GECL KIDS Certificate Program https://www.hdicampus.edu.lk/courses/gecl-kids-certificate-program/ Mon, 20 Apr 2026 15:04:54 +0000 https://www.hdicampus.edu.lk/?post_type=courses&p=17582 The GECL KIDS Program is a foundation-level computing program designed to help children develop essential digital skills in a safe, structured, and engaging way.

In today’s world, where online education is becoming increasingly important, this program equips children with the knowledge and confidence required to use technology responsibly, securely, and effectively.

The program consists of three carefully designed modules.

Module 01 – Elementary Computing

This module introduces children to the basics of computer usage and builds a strong foundation for future digital learning.

Key Areas Covered

  • Introduction to computers and their importance
  • Basic computer concepts (Electricity, On/Off, proper usage)
  • Identifying computer hardware
    (Monitor, CPU, Keyboard, Mouse, UPS, cables, audio/graphics input and output)
  • Purposes and everyday uses of computers

Learning Outcomes

  • Ability to identify and use a computer correctly
  • Understanding the importance and practical uses of computers
  • A strong foundation for future educational and professional computing studies

Module 02 – Online Education

This module prepares children to participate confidently in online learning environments.

Key Areas Covered

  • Learning Management Systems (Microsoft 365, Google Workspace)
  • Online collaboration tools (Zoom, MS Teams, Google Meet)
  • Basic cloud computing concepts (Google Drive, OneDrive)
  • Online communication tools (Email, instant messaging, voice communication)

Learning Outcomes

  • Confidence in attending and managing online classes
  • Ability to learn and explore knowledge from multiple digital platforms
  • Development of lifelong learning habits
  • Awareness of social contexts related to online education

Module 03 – Privacy & Safety

This module focuses on safe and responsible use of technology, especially in online environments.

Key Areas Covered

  • Safe internet usage
  • Protection of personal information and data
  • Basic equipment and device safety
  • Safe use of educational applications

Learning Outcomes

  • Ability to surf the internet safely
  • Awareness of privacy and information security
  • Responsible and secure use of digital tools and platforms

Program Benefits

  • Builds essential digital literacy from an early age
  • Prepares children for online and blended learning environments
  • Encourages safe, responsible, and confident use of technology
  • Lays a strong foundation for future academic and digital success
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Certificate in Digital Marketing & AI https://www.hdicampus.edu.lk/courses/certificate-in-digital-marketing-ai/ Sat, 04 Apr 2026 13:11:54 +0000 https://www.hdicampus.edu.lk/?post_type=courses&p=17525 (Foundation Level | 3 Months | Online | Free Program)

Offered by: HDI CAMPUS
Duration: 3 Months
Delivery Mode: Online
Medium: English
Course Fee: 100% Free

Program Overview

The Certificate in Digital Marketing is a foundation‑level, fully online program designed to provide learners with an introductory understanding of modern digital marketing concepts, platforms, tools, and technologies.

This program focuses on awareness‑level knowledge and practical exposure, helping learners understand how digital marketing works in real‑world business environments, without requiring prior experience or advanced technical skills.

It is ideal for students, beginners, job seekers, entrepreneurs, and individuals interested in entering the digital marketing field.

Program Objectives

By the end of this program, learners will be able to:

  • Understand core digital marketing concepts and terminology
  • Identify major digital marketing channels and platforms
  • Create basic digital content for online platforms
  • Understand the role of SEO, social media, and paid advertising
  • Gain introductory exposure to AI tools used in digital marketing
  • Understand how automation, chatbots, and CRM systems support digital marketing

Course Curriculum

Module No. Module Title Learning Hours
01 Introduction to Digital Marketing 1
02 Digital Marketing Strategy & Planning 1
03 Website & Online Presence Fundamentals 2
04 Search Engine Optimization (SEO) 2
05 Content Creation for Digital Platforms 4
06 Social Media Marketing (SMM) 2
07 Paid Digital Advertising Basics 4
08 Content & Email Marketing 2
09 Digital Analytics & Reporting 2
10 AI Tools for Digital Marketing 4

Total Learning Hours: 24

Social Media & Communication Platforms Covered

Learners will be introduced to essential social media and digital communication platforms used in digital marketing, including:

  • Facebook – Pages, organic content, engagement, ad awareness
  • Instagram – Visual content, Reels, Stories, hashtags
  • YouTube – Video marketing basics and channel optimization
  • TikTok – Short‑form video marketing and trends
  • LinkedIn – Professional branding and B2B marketing basics
  • WhatsApp Business – Customer communication, catalogs, automated replies, lead follow‑ups

Content Creation Skills Covered

The program provides introductory exposure to creating digital content for online platforms, including:

  • Image and graphic creation for social media
  • Basic video content for platforms such as YouTube and TikTok
  • Caption writing and content formats
  • Platform‑specific content awareness
  • Screen recording and basic video creation using OBS Studio

Learners will gain an understanding of how different content types are used across digital platforms.

Search Engine Optimization (SEO) – Tools & Concepts

The SEO module introduces learners to basic SEO concepts and practical tools, including:

  • How search engines work
  • Keyword awareness and on‑page SEO basics
  • Introduction to WordPress SEO plugins (Yoast SEO / Rank Math)
  • Website performance and speed awareness
  • CDN and basic security concepts using Cloudflare (introductory level)

AI Tools Included in the Program

Learners will be introduced to commonly used AI tools that support digital marketing productivity and creativity, including:

  • ChatGPT – Content ideas, captions, ad copy drafting
  • Google Gemini – Content ideation and productivity support
  • Microsoft Copilot – Marketing copy, summaries, and productivity
  • Canva AI – Visual content and design assistance
  • Meta AI Tools – Advertising and optimization awareness

The program emphasizes ethical and responsible use of AI tools at an introductory level.

Marketing Technology, Automation & CRM (Introductory Awareness)

The program also introduces learners to modern digital marketing technologies, including:

  • Chatbots (website, Messenger, and WhatsApp – concept level)
  • API‑based integrations – understanding how platforms connect (conceptual overview)
  • CRM systems – introduction to tools such as HubSpot or Zoho CRM (awareness level)
  • Marketing automation – email automation, lead capture, and follow‑up concepts

This provides learners with an understanding of how digital marketing operates beyond content and advertising.

Mode of Delivery

  • Fully online learning
  • Live or recorded sessions
  • Tool demonstrations and examples
  • Short practical activities
  • Beginner‑friendly teaching approach

Who Can Apply?

  • School leavers
  • Undergraduates
  • Job seekers
  • Small business owners
  • Entrepreneurs
  • Anyone interested in digital marketing

No prior knowledge or experience is required.

Certification

Participants who successfully complete the program will receive a:

Certificate in Digital Marketing
Issued by HDI CAMPUS

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Certificate in Microsoft 365 https://www.hdicampus.edu.lk/courses/certificate-in-microsoft-365/ Sat, 21 Mar 2026 10:08:07 +0000 https://www.hdicampus.edu.lk/?post_type=courses&p=17504 Programme Overview

The Certificate in Microsoft 365  is a short-term, skill-oriented programme designed to equip students with essential digital productivity and collaboration skills using Microsoft 365 tools.

This programme focuses on practical usage of OneDrive, Outlook, and Microsoft Teams, enabling learners to efficiently manage files, communication, and teamwork in academic and professional environments.

Programme Objectives

Upon successful completion of this course, students will be able to:

  • Effectively manage and store files using cloud-based systems
  • Communicate professionally using email and scheduling tools
  • Collaborate in real-time using modern digital platforms
  • Utilize Microsoft 365 tools for academic and workplace productivity
  • Apply digital skills required for higher education and employment

Course Content

Module 01: Introduction to Microsoft 365

  • Overview of Microsoft 365 ecosystem
  • Account setup and navigation
  • Understanding cloud-based applications

Module 02: Microsoft OneDrive

  • Cloud storage fundamentals
  • File uploading, organization, and backup
  • File sharing and permission management
  • Accessing files across multiple devices

Module 03: Microsoft Outlook

  • Email account setup and configuration
  • Professional email writing techniques
  • Inbox organization and filtering
  • Calendar management and meeting scheduling

Module 04: Microsoft Teams

  • Introduction to Microsoft Teams interface
  • Creating and managing teams and channels
  • Conducting online meetings and classes
  • File sharing and collaboration within Teams

Module 05: Integrated Productivity Skills

  • Combining OneDrive, Outlook, and Teams
  • Managing academic/work tasks efficiently
  • Real-world applications and case scenarios

⏳ Duration – 01 Month (4 Weeks)

💰 Course Fee – LKR 6,000

Additional Benefits

  • Free Microsoft 365 A1 Student Account
  • Hands-on practical training
  • Continuous learner support
  • Certificate upon successful completion

Target Audience

  • School leavers and university students
  • Job seekers and beginners in IT
  • Office staff and professionals seeking digital skills
  • Anyone interested in improving productivity using Microsoft tools

Mode of Delivery

  • Online / Hybrid Learning
  • Interactive sessions with practical demonstrations

Certification

Students who successfully complete the programme will be awarded a:
Certificate in Microsoft 365 issued by HDI CAMPUS

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Certificate in WordPress Web Design https://www.hdicampus.edu.lk/courses/certificate-in-wordpress-web-design/ Sat, 21 Mar 2026 06:32:09 +0000 https://www.hdicampus.edu.lk/?post_type=courses&p=17492 The Certificate in WordPress Web Design is a professionally structured short-term academic programme designed to equip learners with essential knowledge and practical competencies in modern web technologies. WordPress, being one of the world’s leading Content Management Systems (CMS), is widely utilized for the development of business, educational, and commercial websites.

This programme provides a comprehensive understanding of designing, developing, publishing, and maintaining WordPress-based websites. In addition, it introduces learners to theme customization and fundamental custom theme development, enabling them to build dynamic and scalable web solutions.

Programme Structure

  • Duration: 2 Months (8 Weeks)
  • Schedule: Sundays
  • Time: 7:30 PM – 9:30 PM
  • Delivery Mode: Online (Live Interactive Sessions)

Course Content

The curriculum integrates both theoretical and practical components, covering the following key areas:

  1. Domain and Hosting Registration
    • Domain name selection and registration
    • Hosting services and initial configuration
  2. cPanel Management
    • File and database management
    • Basic server-side operations
  3. Webmail Configuration
    • Creation and management of professional email accounts
  4. WordPress Installation
    • Local environment setup and live server deployment
  5. Theme and Plugin Management
    • Installation and customization of themes
    • Enhancing functionality through plugins
  6. Website Design and Content Management
    • Management of pages, posts, menus, and media
    • Fundamentals of UI/UX design
  7. Website Deployment and Publishing
    • Launching a live website
    • Backup, security, and maintenance practices
  8. Fundamentals of Search Engine Optimization (SEO)
    • Improving search engine visibility
    • On-page SEO techniques

Intended Participants

This programme is recommended for:

  • Individuals seeking to acquire foundational to professional-level skills in website development
  • Those aspiring to enter the field of freelance web development or digital entrepreneurship
  • Business owners interested in independently developing and managing their own websites
  • Individuals aiming to engage in WordPress theme development and digital product creation

Learning Outcomes

Upon successful completion of the programme, learners will be able to:

  • Develop fully functional WordPress websites independently
  • Manage the complete web development workflow from domain registration to deployment
  • Customize websites using themes and plugins effectively
  • Apply fundamental SEO strategies to enhance website visibility
  • Initiate a career as a freelance web developer or digital service provider

Certification

Participants who successfully complete the programme will be awarded the Certificate in WordPress Web Design issued by HDI CAMPUS.

Career Opportunities

  • Web Designer / WordPress Developer
  • Freelance Digital Service Provider
  • Website Administrator
  • Digital Marketing Support Executive
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Bachelor of Science in Applied Mathematics and Analytics https://www.hdicampus.edu.lk/courses/bachelor-of-science-in-applied-mathematics-and-analytics/ Mon, 09 Feb 2026 14:35:21 +0000 https://www.hdicampus.edu.lk/?post_type=courses&p=17488 The Bachelor of Science in Applied Mathematics and Analytics is designed to provide students with strong mathematical, statistical, and analytical foundations required for modelling, analysing, and solving complex real-world problems.

The programme places particular emphasis on:

  • Mathematical reasoning

  • Quantitative modelling

  • Data analytics

  • Computational methods

  • Decision-support systems

Mathematics is treated as an applied scientific tool for understanding and analysing complex systems, rather than as a purely abstract discipline. This applied and analytical orientation ensures full alignment with the academic mandate of USSGB, while maintaining strong mathematical rigor and relevance.

Programme Aims

The programme aims to:

  • Develop strong competence in applied mathematics and statistics

  • Train students in mathematical modelling and analytical thinking

  • Equip learners with data analytics and computational skills

  • Enable quantitative problem-solving for complex real-world systems

  • Prepare graduates for advanced academic studies or analytics-oriented professional careers

Learning Outcomes (Graduate Attributes)

Upon successful completion of the programme, graduates will be able to:

  • Apply advanced mathematical techniques to practical and applied problems

  • Construct, analyse, and interpret mathematical and statistical models

  • Perform data-driven analysis using appropriate analytical and computational tools

  • Interpret quantitative results for decision-making and system analysis contexts

  • Conduct applied research using sound mathematical and analytical frameworks

Programme Structure – Semester-wise Syllabus

Year 1 – Mathematical & Analytical Foundations

Semester 1 (30 ECTS)

Module Code Module Title Credits
AMA 101 Calculus I 5
AMA 102 Linear Algebra I 5
AMA 103 Foundations of Applied Mathematics 5
AMA 104 Introduction to Statistics 5
AMA 105 Academic & Scientific Computing 5
AMA 106 Mathematical Communication Skills 5

Semester 2 (30 ECTS)

Module Code Module Title Credits
AMA 107 Calculus II 5
AMA 108 Linear Algebra II 5
AMA 109 Probability Theory 5
AMA 110 Discrete Mathematics 5
AMA 111 Introduction to Data Analysis 5
AMA 112 Mathematical Reasoning & Logic 5

Year 2 – Modelling, Statistics & Analytics

Semester 3 (30 ECTS)

Module Code Module Title Credits
AMA 201 Differential Equations 5
AMA 202 Statistical Inference 5
AMA 203 Numerical Methods 5
AMA 204 Mathematical Modelling I 5
AMA 205 Data Analytics I 5
AMA 206 Research Methods for Quantitative Sciences 5

Semester 4 (30 ECTS)

Module Code Module Title Credits
AMA 207 Optimization Techniques 5
AMA 208 Multivariate Statistics 5
AMA 209 Stochastic Processes 5
AMA 210 Mathematical Modelling II 5
AMA 211 Data Analytics II 5
AMA 212 Applied Computing for Analytics 5

Year 3 – Advanced Applications & Research

Semester 5 (30 ECTS)

Module Code Module Title Credits
AMA 301 Operations Research 5
AMA 302 Time Series Analysis 5
AMA 303 Decision Science Models 5
AMA 304 Simulation & Systems Modelling 5
AMA 305 Elective I 5
AMA 306 Applied Analytics Project I 5

Semester 6 (30 ECTS)

Module Code Module Title Credits
AMA 307 Advanced Modelling & Analytics 5
AMA 308 Risk & Uncertainty Analysis 5
AMA 309 Machine Learning Fundamentals 5
AMA 310 Elective II 5
AMA 311 Research Project / Dissertation 8
AMA 312 Viva Test 2

Elective Areas (Indicative)

  • Financial Mathematics

  • Actuarial Mathematics

  • Computational Modelling

  • Advanced Analytics

  • Optimization in Complex Systems

  • Data Visualization Techniques

Academic Notes

  • Programme structured according to LMD / ECTS framework

  • Each semester carries 30 ECTS credits

  • Degree awarded upon successful completion of 180 ECTS credits

  • Research Project and Viva Test are mandatory graduation requirements

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Foundation in Higher Education Studies https://www.hdicampus.edu.lk/courses/foundation-in-higher-education-studies/ Tue, 03 Feb 2026 09:44:36 +0000 https://www.hdicampus.edu.lk/?post_type=courses&p=17471 Programme Overview

The Foundation in Higher Education Studies is a preparatory academic programme designed to equip students with the essential knowledge, skills, and competencies required for successful progression into undergraduate degree programmes at HDI CAMPUS.

This programme is specifically structured to prepare students for Bachelor’s degree studies in Business Administration, Computing / IT, and Psychology, following internationally aligned LMD / ECTS academic standards.

It provides a smooth academic transition for students who have completed O/Ls, partially completed A/Ls, or who require structured preparation before entering university-level education.

Programme Aims

The programme aims to:

  • Prepare students for undergraduate-level academic study

  • Develop academic English, study skills, and critical thinking

  • Introduce core concepts relevant to Business, Computing, and Psychology

  • Build digital literacy and research awareness

  • Align students with LMD / ECTS-based higher education standards

  • Enable a smooth transition into Year 1 of a Bachelor’s degree

Programme Learning Outcomes

Upon successful completion of the programme, students will be able to:

  • Demonstrate effective academic reading, writing, and communication skills

  • Apply critical and analytical thinking to academic tasks and problems

  • Use digital tools and LMS platforms for higher education learning

  • Understand foundational concepts in business, computing, and social sciences

  • Apply basic research methods and ethical academic practices

  • Demonstrate readiness to engage in undergraduate-level assessments and learning environments

Programme Structure

  • Duration: 6 – 12 Months

  • Total Credits: 30 ECTS

  • Mode of Study:

    • Onsite

    • Online

    • LMS-Based

Curriculum Structure (Module-wise)

Module 1: Academic English & Communication

Credits: 6 ECTS

Key Topics:

  • Academic reading and comprehension

  • Essay writing and paragraph development

  • Presentation and communication skills

  • Grammar for academic use

Learning Focus:
Developing academic language competence for degree-level studies

Module 2: Study Skills & Learning Strategies

Credits: 4 ECTS

Key Topics:

  • Effective note-taking techniques

  • Time management and self-directed learning

  • Independent and collaborative learning

  • Examination and assessment strategies

Learning Focus:
University-level learning readiness

Module 3: Critical Thinking & Problem Solving

Credits: 4 ECTS

Key Topics:

  • Logical reasoning

  • Argument analysis

  • Decision-making skills

  • Problem-solving models

Learning Focus:
Developing an analytical mindset for higher education

Module 4: Digital Literacy & ICT Skills

Credits: 4 ECTS

Key Topics:

  • Computer fundamentals

  • MS Office / Google Workspace

  • Internet research skills

  • Learning Management Systems (LMS)

Learning Focus:
Digital competence for modern academic environments

Module 5: Introduction to Business & Management

Credits: 4 ECTS

Key Topics:

  • Basic business concepts

  • Introduction to economics

  • Accounting fundamentals

  • Organizational behaviour

Learning Focus:
Foundation knowledge for Business Administration degrees

Module 6: Introduction to Computing & Technology

Credits: 4 ECTS

Key Topics:

  • Computer systems and hardware

  • Introduction to software and programming concepts

  • Internet and networking basics

  • Digital security awareness

Learning Focus:
Foundation knowledge for Computing and IT degrees

Module 7: Introduction to Psychology & Social Sciences

Credits: 4 ECTS

Key Topics:

  • Introduction to psychology

  • Human behaviour and society

  • Basic statistics for social sciences

  • Ethical awareness

Learning Focus:
Foundation knowledge for Psychology and Social Science degrees

Assessment Methods

  • Assignments

  • Quizzes

  • Presentations

  • Written examinations

  • Continuous assessments

Progression Pathways

Successful completion of the Foundation in Higher Education Studies provides eligibility for direct entry into the following HDI CAMPUS degree programmes, subject to academic regulations:

  • Bachelor of Business Administration

  • Bachelor of Computing / Information Technology

  • Bachelor of Psychology

  • Related Management and Social Science degree programmes

Admission Requirements

Applicants must meet one of the following:

  • GCE O/L or equivalent qualification

  • GCE A/L (completed or incomplete)

  • Mature students with relevant work experience

  • International students with equivalent secondary education

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Higher National Diploma (HND) in Information Technology Management https://www.hdicampus.edu.lk/courses/higher-national-diploma-hnd-in-information-technology-management/ Sat, 24 Jan 2026 11:13:42 +0000 https://www.hdicampus.edu.lk/?post_type=courses&p=17429 Programme Overview

The Higher National Diploma (HND) in Information Technology Management is a two-year professional qualification (120 credits) designed to integrate information technology, management, and digital business practices.
The programme equips students with practical, managerial, and technological competencies required in IT-driven organizations, software companies, digital enterprises, and corporate IT departments.

The curriculum is aligned with the LMD / ECTS framework and provides a clear progression pathway to Bachelor’s degree programmes, with eligibility for direct entry to Year 3, subject to institutional regulations.

Programme Highlights

  • Duration: 2 Years (4 Semesters)

  • Total Credits: 120 Credits

  • LMD / ECTS aligned professional qualification

  • Integrated IT + Management curriculum

  • Strong emphasis on practical and applied learning

  • Mandatory industry internship

  • Clear Bachelor’s Degree progression pathway

  • Suitable for full-time, part-time, and working professionals

Programme Details

Item Description
Qualification Awarded Higher National Diploma (HND)
Field of Study Information Technology Management
Duration 2 Years
Total Credits 120 Credits
Semesters 4
Study Mode On-campus / Online / Blended
Assessment Continuous Assessment, Final Examination, Project
Internship Mandatory

Programme Objectives

Upon successful completion of this programme, graduates will be able to:

  • Manage information systems and digital technologies in organizations

  • Apply IT tools to support business and managerial decision-making

  • Coordinate and manage IT projects and digital initiatives

  • Understand legal, ethical, and regulatory aspects of information technology

  • Apply data management and analytics concepts in business contexts

  • Communicate effectively in professional and technical environments

Programme Structure

Year 1 – Foundations of IT and Management

Semester 1 (30 Credits)

Module Code Module Title Credits
HND-ITM 101 Introduction to Digital Management and IT 5
HND-ITM 102 Digital Economy and Technology Industry 5
HND-ITM 103 Accounting for IT and Software Businesses 5
HND-ITM 104 Management Mathematics for IT Applications 5
HND-ITM 105 Professional Communication and Report Writing 5
HND-ITM 106 Computer Systems and Digital Productivity Tools 5
Total 30

Semester 2 (30 Credits)

Module Code Module Title Credits
HND-ITM 107 Organizational Behavior in IT Organizations 5
HND-ITM 108 Statistics for IT and Managerial Decision-Making 5
HND-ITM 109 Human Resource Management for IT Teams 5
HND-ITM 110 Technology-Oriented Management Models 5
HND-ITM 111 Computer Ethics, Cyber Law and Digital Responsibility 5
HND-ITM 112 Fundamentals of Data Management for Managers 5
Total 30

Year 2 – Applied IT Management and Professional Practice

Semester 3 (30 Credits)

Module Code Module Title Credits
HND-ITM 201 Management Information Systems (MIS) 5
HND-ITM 202 Digital Marketing and Business Technologies 5
HND-ITM 203 Systems Analysis and Business Process Design 5
HND-ITM 204 IT Law, Data Protection and Compliance 5
HND-ITM 205 Research Methods and Applied Project Design 5
HND-ITM 206 Web Technologies for Business Applications 5
Total 30

Semester 4 (30 Credits)

Module Code Module Title Credits
HND-ITM 207 ERP Systems and Digitalization of Organizations 5
HND-ITM 208 IT Project Management (Agile and Scrum) 5
HND-ITM 209 Entrepreneurship and Digital Startups 5
HND-ITM 210 IT Service Management (ITIL – Academic Approach) 5
HND-ITM 211 Industry Internship / Work-Based Learning 5
HND-ITM 212 Final Applied Project (Professional Project Report) 5
Total 30

Career Opportunities

Graduates of this programme may pursue careers such as:

  • IT Executive / IT Officer

  • MIS Officer / Systems Administrator

  • IT Project Coordinator

  • Digital Operations Executive

  • Business and Technology Analyst

  • ERP / IT Support Executive

  • Junior IT Manager

Progression Pathway

Students who successfully complete the HND in Information Technology Management (120 Credits) may progress to:

  • Bachelor of Information Technology Management

  • Bachelor of Information Technology

  • Bachelor of Business Administration (IT-related pathways)

with direct entry to Year 3, subject to credit transfer and institutional regulations.

Entry Requirements

  • G.C.E. Advanced Level or equivalent qualification
    OR

  • Recognized Diploma or professional qualification
    OR

  • Relevant work experience (subject to approval)

Why Choose This Programme?

  • Industry-relevant and career-oriented curriculum

  • Balanced focus on technology and management

  • Internationally aligned credit structure

  • Strong employability and degree progression opportunities


Start your professional journey in Information Technology Management and progress confidently towards a Bachelor’s Degree.

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Bachelor’s Degree in Quantitative and Statistical Methods Applied to Management https://www.hdicampus.edu.lk/courses/bachelors-degree-in-quantitative-and-statistical-methods-applied-to-management/ Fri, 02 Jan 2026 11:34:05 +0000 https://www.hdicampus.edu.lk/?post_type=courses&p=17257 Programme Overview

The Bachelor’s Degree in Quantitative and Statistical Methods Applied to Management is designed to train professionals capable of using mathematical, statistical, and computational tools to analyze economic, financial, and managerial data in support of evidence-based decision-making in public and private organizations.

The programme combines management sciences, applied mathematics, statistics, and data analysis technologies, preparing graduates to operate effectively in data-driven business, economic, and institutional environments.

The curriculum is structured in accordance with the LMD (Licence–Master–Doctorate) system and aligned with international higher education and ECTS-equivalent standards.

Programme Objectives

The programme aims to:

  • Develop strong mastery of quantitative and statistical methods applied to management

  • Train students to collect, process, analyze, and interpret data

  • Build proficiency in statistical and data analysis software such as
    SPSS, R, Python, Excel, and Power BI

  • Enable students to conduct economic studies and quantitative research

  • Prepare analysts capable of integrating research outcomes into managerial decision-making

Programme Structure

  • Duration: 3 Years (6 Semesters)

  • Academic System: LMD

  • Total Credits: 180 ECTS

  • Field: Economics and Management

  • Specialization: Quantitative and Statistical Methods

Year 1 – Foundations in Management and Mathematics (60 Credits)

Core Courses (48 Credits)

Code Course Title Credits
MQS 101 Introduction to Management and Economics 6
MQS 102 General Mathematics I (Algebra and Analysis) 6
MQS 103 Descriptive Statistics 6
MQS 104 Basic Computing and Spreadsheets (Excel, SPSS) 6
MQS 105 Microeconomics 6
MQS 106 General Accounting 6
MQS 107 University Methodology and Academic Communication 6
MQS 108 Financial Mathematics 6

Optional Courses (Choose two – 12 Credits)

Code Course Title Credits
MQS 109 Introduction to Programming (Python / R) 6
MQS 110 English for Economics and Statistics 6
MQS 111 Scientific Writing and Presentation Techniques 6
MQS 112 Law and Economic Institutions 6

Year 2 – Quantitative Methods Applied to Management (60 Credits)

Core Courses (48 Credits)

Code Course Title Credits
MQS 201 Inferential Statistics 6
MQS 202 General Mathematics II (Linear Algebra & Differential Calculus) 6
MQS 203 Probability and Modeling 6
MQS 204 Econometric Methods I 6
MQS 205 Data Analysis (SPSS / Advanced Excel) 6
MQS 206 Game Theory and Decision Making 6
MQS 207 Research Methodology and Observation Internship 6
MQS 208 Information Technology Applied to Management (Statistical Software) 6

Optional Courses (Choose two – 12 Credits)

Code Course Title Credits
MQS 209 Social and Demographic Statistics 6
MQS 210 Introduction to Data Science 6
MQS 211 Simulation and Mathematical Modeling 6
MQS 212 Advanced Regression Analysis 6

Year 3 – Professional Applications and Advanced Analysis (60 Credits)

Code Course Title Credits
MQS 301 Advanced Econometrics and Time Series Analysis 6
MQS 302 Multivariate Analysis 6
MQS 303 Operations Research and Optimization 6
MQS 304 Statistics for Decision Making 6
MQS 305 Data Science Applied to Management (Python / R / Power BI) 6
MQS 306 Professional Dissertation / Final Year Project 12
MQS 307 Professional Internship (Minimum 3 Months) 12
Total 60

Overall Credit Allocation

Academic Year Focus Area Credits
Year 1 Mathematical, statistical, and economic foundations 60
Year 2 Quantitative methods and data analysis 60
Year 3 Professional applications and data science 60
Total Full Programme (LMD) 180 ECTS

Learning Outcomes and Skills Acquired

Graduates of the programme will be able to:

  • Apply quantitative and statistical methods to management and research problems

  • Use statistical software and programming tools for data analysis

  • Design decision-support and optimization models

  • Conduct economic, financial, and managerial studies

  • Produce professional analytical reports and academic research outputs

Career Opportunities

Graduates may pursue careers as:

  • Statistician / Data Analyst

  • Quantitative Economist

  • Management or Performance Analyst

  • Economic Studies and Evaluation Officer

  • Management Information Systems (MIS) Officer

  • Research, Planning, and Policy Consultant

Progression and Further Studies

The degree provides access to:

  • Master’s Degrees in Economics, Management, or Statistics

  • Master’s Degrees in Data Analytics, Business Analytics, or Econometrics

  • MBA programmes with quantitative or analytics specialization

  • Research-oriented postgraduate programmes
    (subject to admission requirements)

Academic Note

This programme is structured in compliance with the LMD academic framework and an ECTS-aligned credit system, ensuring academic rigor, transparency, and international comparability.

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Bachelor’s Degree in Information Technology Management https://www.hdicampus.edu.lk/courses/bachelors-degree-in-information-technology-management/ Fri, 02 Jan 2026 11:31:08 +0000 https://www.hdicampus.edu.lk/?post_type=courses&p=17256 Programme Overview

The Bachelor’s Degree in Information Technology Management (LMTI) is a three-year undergraduate programme (Bac+3) designed to respond to the increasing demand for professionals capable of managing, leading, and optimizing information technologies within modern organizations.

The programme adopts a balanced and interdisciplinary approach, combining management sciences with information technology, and emphasizes strategic thinking, digital innovation, and professional readiness in a rapidly evolving digital environment.

The curriculum is structured in accordance with the LMD (Licence–Master–Doctorate) system and aligned with international higher education standards.

Programme Objectives

The LMTI programme aims to:

  • Train managers specialized in information technologies

  • Develop competencies in information systems management, IT project management, and digital transformation

  • Prepare graduates for data-driven managerial decision-making

  • Enhance employability in IT, digital services, administration, business, and public sectors

  • Provide a solid academic foundation for Master’s degrees, MBA programmes, and specialized postgraduate studies

Learning Outcomes and Skills Acquired

Upon successful completion of the programme, graduates will be able to:

  • Manage and coordinate IT and digital projects

  • Administer and optimize Management Information Systems (MIS) and ERP systems

  • Analyze data to support strategic and operational decision-making

  • Manage human resources within technology-oriented organizations

  • Design and implement digital transformation strategies

  • Ensure governance, compliance, and security of information systems

Programme Structure

  • Duration: 3 Years (6 Semesters)

  • Academic System: LMD

  • Total Credits: 180

  • Field: Economics and Management

  • Mention: Management

  • Specialization: Information Technology Management

Year 1 – Foundations of Management and Information Technologies

Semester 1 (30 Credits)

Code Course Title Credits
LMTI 101 Introduction to Digital Management and Information Technologies 5
LMTI 102 Digital Economy and Information Technology Industry 5
LMTI 103 Accounting Applied to IT and Software Companies 5
LMTI 104 Management Mathematics Applied to Computing and Data 5
LMTI 105 Professional Communication for IT Managers 5
LMTI 106 Computer Systems and Digital Tools 5

Semester 2 (30 Credits)

Code Course Title Credits
LMTI 107 Organizational Behavior in Technology Companies 5
LMTI 108 Statistics for Computing and Decision Analysis 5
LMTI 109 Human Resource Management for IT Teams 5
LMTI 110 Technology-Oriented Management Models 5
LMTI 111 Computer Ethics, Cyber Law, and Digital Responsibility 5
LMTI 112 Fundamentals of Data Management for Managers 5

Year 2 – Applied Information Technology Management and Systems

Semester 3 (30 Credits)

Code Course Title Credits
LMTI 201 Management Information Systems (MIS) 5
LMTI 202 Digital Marketing and Technologies 5
LMTI 203 Systems Analysis and Business Process Design 5
LMTI 204 Information Technology Law and Data Protection 5
LMTI 205 Research Methodology in Management and Computing 5
LMTI 206 Web Technologies for Management Applications 5

Semester 4 (30 Credits)

Code Course Title Credits
LMTI 207 ERP Systems and Organizational Digitalization 5
LMTI 208 IT Project Management (Agile & Scrum) 5
LMTI 209 Technology Entrepreneurship and Digital Startups 5
LMTI 210 Talent and Knowledge Management in IT Organizations 5
LMTI 211 E-Commerce Systems and Digital Platforms 5
LMTI 212 Management Databases and SQL for Managers 5

Year 3 – Strategic and Advanced Technology Management

Semester 5 (30 Credits)

Code Course Title Credits
LMTI 301 Strategic Management of IT and Digital Enterprises 5
LMTI 302 Information Systems Governance and Cybersecurity 5
LMTI 303 Data Analysis for Managerial Decision Support 5
LMTI 304 Digital Transformation and Change Management 5
LMTI 305 Optional I: FinTech / Health IT / GovTech / EduTech 5
LMTI 306 Professional Internship in an IT or Digital Organization 5

Semester 6 (30 Credits)

Code Course Title Credits
LMTI 307 AI-Based Decision Support Systems for Management 5
LMTI 308 IT Service Management (ITIL – Academic Approach) 5
LMTI 309 Technological Leadership and Innovation 5
LMTI 310 Optional II: Cloud Computing / Cybersecurity / Advanced ERP 5
LMTI 311 Research Project in Information Technology Management 7
LMTI 312 Viva Test (Oral Presentation) 3

Teaching and Learning Methods

  • Lectures and guided tutorials

  • Case studies applied to real-world IT environments

  • Practical exercises using digital and management tools

  • Academic and professional project work

  • Mandatory supervised internship in a professional setting

Career Opportunities

Graduates of the LMTI programme may pursue careers as:

  • Information Systems Manager

  • IT Project Manager

  • Head of Digital Transformation

  • Business or Systems Analyst

  • ERP / MIS Manager

  • Technology Entrepreneur

  • IT Professional in public or private sector organizations

Progression and Further Studies

The LMTI degree provides access to:

  • Master’s Degrees in Management

  • Master’s Degrees in Information Systems

  • MBA programmes (Digital Management, IT Management)

  • Master’s Degrees in Data Analytics, Digital Transformation, or Management Information Systems
    (subject to admission requirements)

Academic Note

This programme is fully aligned with the LMD academic framework and an ECTS-equivalent credit system, ensuring academic quality, transparency, and international comparability.

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