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