Course guide · Courses & Degrees
B.Sc Data Science
B.Sc Data Science teaches students to collect, analyse and learn from data using statistics and programming. It is a focused, often more affordable alternative to engineering for students who enjoy mathematics and want to work with data.
- Duration
- 3 years; 4-year honours / research options
- Eligibility
- Class 12 with Mathematics at most universities
- Admission
- CUET-UG, university tests or merit
- Leads to
- Data analyst, data scientist and related roles
Course overview
The course combines probability and statistics, linear algebra, programming (usually Python and R), databases, data visualisation, machine learning and big-data tools, often with industry projects.
IIT Madras also offers an online BS in Data Science and Applications with its own qualifier process. See Data Scientist for careers.
Who this course may suit
- Students who enjoy mathematics and statistics
- Students from MPC or commerce with Mathematics interested in data
- Students wanting a data-focused alternative to B.Tech
Eligibility
- Class 12 with Mathematics and minimum marks, at most universities
Entrance exams and admission
| Exam | Used for | Notes |
|---|---|---|
| CUET-UG | B.Sc programmes at participating universities | |
| University entrance tests | B.Sc at private universities |
Exam names, patterns, eligibility and participating institutions change. Check the official notification for the current year.
What you will study
| Year | Typical subjects |
|---|---|
| Year 1 | Mathematics for data science, statistics, Python programming, computer fundamentals |
| Year 2 | Probability, linear algebra, databases and SQL, data visualisation, data structures |
| Year 3 | Machine learning, big-data tools, statistical modelling, domain electives, capstone project |
| Year 4 (honours/research) | Deep learning, advanced analytics, research project |
Skills you will develop
- Statistics and probability
- Python/R programming
- SQL and data handling
- Visualisation
- Machine learning basics
Where the course is offered
Offered by a growing number of state, central and private universities, as well as online degree programmes. Check faculty expertise, curriculum depth in statistics, and project work.
Want help applying this to your own situation? Career Counselling After Class 12 on the Career Captain website.
Indicative fees
Fees vary from affordable at government universities to about ₹1–3 lakh a year at private universities; online programmes have their own fee structures.
Career options after the course
Data Scientist
Analysis and modelling.
AI / ML Engineer
With deeper ML and software skills.
Economist
With economics specialisation.
Higher-study options
- M.Sc Data Science or Statistics
- M.Tech via GATE (Data Science & AI paper)
- Business analytics programmes
- MS abroad
Advantages of this course
- Focused on an in-demand skill set
- Often shorter and cheaper than B.Tech
- Strong mathematical grounding
Challenges to consider
- Newer programmes vary in quality
- Some employers prefer B.Tech or postgraduate degrees for advanced roles
Is this course a good fit for you?
It may suit you if…
- You enjoy statistics and patterns
- You like programming for analysis
It may be harder if…
- You dislike mathematics
Similar courses to compare
- B.Sc Statistics / Mathematics
- B.Tech AI & Data Science
- BCA
Frequently asked questions
B.Sc Data Science or B.Tech AI & DS?
B.Tech is a longer engineering degree with broader computing; B.Sc is focused on statistics and analysis. Both can lead to data careers.
Do I need Mathematics in Class 12?
At most universities, yes.
Can I become a data scientist with just a B.Sc?
Many start as data analysts; senior data-science roles often expect more experience or a master's.
Published by Career Captain Global Solutions. This page is general guidance; see the disclaimer below. Spotted something out of date? Let us know.