Semester 1
20 creditsSemester 1 courses
| Course | Credits |
|---|---|
| Programming Fundamentals | 4 |
| Discrete Mathematics | 3 |
| Statistics I | 3 |
| Computer & Information Systems | 3 |
| Academic English & Communication | 3 |
| Introduction to Data Analytics | 4 |
Bachelor Degree
BSc in Data Analytics
Turn data into decisions and insights.
Complete curriculum
BSc in Data Analytics curriculum structure
120 credits · 6 semesters · 3 years
Academic note: Proposed curriculum framework for the CEIC website. The final syllabus, credit structure and course codes should be aligned with the program's approved university/academic regulations before publication.
Semester 2
20 creditsSemester 2 courses
| Course | Credits |
|---|---|
| Object-Oriented Programming | 4 |
| Database Systems | 3 |
| Statistics II | 3 |
| Linear Algebra for Data Science | 3 |
| Data Structures & Algorithms | 3 |
| Web Technologies | 4 |
Semester 3
20 creditsSemester 3 courses
| Course | Credits |
|---|---|
| Python for Data Science | 4 |
| Data Visualization | 3 |
| Probability & Statistical Inference | 3 |
| Data Warehousing | 3 |
| Operating Systems | 3 |
| Research Methods | 4 |
Semester 4
20 creditsSemester 4 courses
| Course | Credits |
|---|---|
| Machine Learning Fundamentals | 4 |
| Business Intelligence | 3 |
| Big Data Analytics | 3 |
| Predictive Analytics | 3 |
| Cloud Computing Fundamentals | 3 |
| Data Ethics & Privacy | 4 |
Semester 5
20 creditsSemester 5 courses
| Course | Credits |
|---|---|
| Advanced Machine Learning | 3 |
| Deep Learning Fundamentals | 3 |
| Natural Language Processing | 3 |
| Data Mining | 3 |
| Applied Analytics Lab | 4 |
| Industry Internship / Practicum | 4 |
Semester 6
20 creditsSemester 6 courses
| Course | Credits |
|---|---|
| Time Series & Forecasting | 3 |
| MLOps & Model Deployment | 3 |
| Advanced Data Visualization | 3 |
| Analytics for Business & Decision Science | 3 |
| Capstone Project I | 4 |
| Capstone Project II | 4 |
Graduate / completion outcomes
What students should be able to do
01
Apply theoretical knowledge to practical technology problems.
02
Design, evaluate and document professional solutions using modern tools.
03
Communicate technical findings clearly and work effectively in multidisciplinary teams.
04
Demonstrate ethical, responsible and research-oriented professional practice.
Course overview
Learn by doing.
The BSc in Data Analytics equips students with skills to analyze, interpret and visualize data for decision-making. The course combines statistics, programming and business intelligence tools.
Key features
What you will experience
- Data analysis & visualization tools
- Real-world datasets
- Business intelligence training
- Internship opportunities
Curriculum
Core modules
- Statistics & Probability
- Python for Data Science
- Data Visualization
- Machine Learning Basics
- Database Management
Why this course
BSc in Data Analytics for the next stage of your career.
Data is central to decisions in technology, finance, healthcare and many other industries. Students learn how to turn raw information into useful insights.
Career opportunities
Where it can lead
Data Analyst, Business Analyst, Junior Data Scientist and Research Analyst.
Ask admissionsReady to start?
Review the brochure, confirm current fees and submit an application enquiry.
Apply to CEIC