Distance Learning University

HDI CAMPUS

Bachelor of Science in Applied Mathematics and Analytics
Mathematics

Mode of Study

Online classes, interactive LMS, and on-site workshops

Intake

Jan, Apr, Jun, Oct

Duration

1 year top up available, 3 Years

Free offered

Payments

Registration Fee :
Rs.32030
Course Fee :
Top-Up : Rs.383000
3 Years : Rs.620000

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

Frequently Asked Questions

Email: [email protected] Phone: +94 777-29-90-91
Yes. Degrees are awarded by globally recognized universities and can be verified through our official verification process.
Yes. We have certified training centers including SITC, MIBA, ISBM, and HDI CAMPUS II. You may visit the nearest one for support.
Once reviewed, you’ll receive a formal welcome email from the awarding university and an offer letter from HDI CAMPUS.
Yes. The degrees we offer are awarded by universities recognized by the University Grants Commission (UGC) of Sri Lanka.
Yes. This degree is accepted as a valid qualification for employment in both the government and private sectors in Sri Lanka. It can also be used to meet the eligibility requirements for promotions within those sectors.
This is a Blended Learning program, which combines both online and on-site components. All lectures are delivered online via Zoom, ensuring accessibility and flexibility for students. In addition, each subject includes relevant practical workshops and training sessions to enhance hands-on learning and real-world application.
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