Undergraduate BSC-DS

B.Sc Data Science

Last updated · Confirm dates, fees and eligibility on the official website before you apply.

Undergraduate program in statistics, programming, analytics and machine learning.

B.Sc Data Science student using a laptop to analyse charts and write code from a dataset.
Duration
3–4 years
Entry after
Class 12
Entrance exam
None
Study mode
OnCampus
Overview

About this course

Suits students who enjoy mathematics, statistics, programming and interpreting evidence rather than only using AI tools. Data science requires statistical reasoning, coding and domain knowledge. Course titles vary widely, so inspect the syllabus and project depth.
01 · Overview

Course overview

Suits students who enjoy mathematics, statistics, programming and interpreting evidence rather than only using AI tools.
02 · Who it suits

Who should consider this course?

Suits students who enjoy mathematics, statistics, programming and interpreting evidence rather than only using AI tools.
03 · Eligibility and admission

Eligibility and admission

Mathematics is commonly required or strongly preferred; institution-specific combinations apply. Exact eligibility and selection rules vary by institution and year.
04 · The honest part

Reality check

Data science requires statistical reasoning, coding and domain knowledge. Course titles vary widely, so inspect the syllabus and project depth.
05 · Next steps

Next steps

Compare the syllabus, recognition, total fees, teaching facilities, practical exposure, progression and mapped careers before applying.
06 · What you learn

What you learn

You study statistics, programming, analytics and machine learning over a three- or four-year degree.

StageCore contentAlongside it
Semester 1 Statistics and Probability; Programming for Data
Semester 3 Machine Learning
Semester 4 Data Ethics and Visualisation

Ask before you enrol. How many hours of supervised programming and data-analysis practicals will you get each week, and which software will you use?

07 · Certifications

Certifications that change what you earn

08 · Where this leads

Where this can lead

This degree can lead to data science or artificial intelligence work, or to postgraduate study in data science or cyber security.

Where the work is

Data science teams
Work centres on statistics, programming and data analysis.
Artificial intelligence development teams
Work uses machine learning and programming to build AI systems.

What comes next

1
Right after the course

Data science work First job route

Apply for roles linked to data science and build experience with programming, statistics and data analysis.

2
Right after the course

Artificial intelligence engineering work

Move towards AI engineering roles that use machine learning skills.

3
After graduation

M.Sc Data Science

Study data science further after your B.Sc.

4
After graduation

Cyber Security study

Choose cyber security as a postgraduate direction.

Entry

Who can apply

1 route into this course.

QualificationStreamMinimumSubjects
Class 12 Science - PCM — Mathematics is commonly required or strongly preferred; institution-specific combinations apply.

Percentages are indicative. Individual universities set their own cut-offs, and reserved-category relaxations differ by state and institution.

Outcomes

Careers this course leads to

2 routes mapped from this qualification.

A course supports eligibility and preparation. It never guarantees a particular job.

Pathways

Before and after this course

What you can study next

Questions

Common questions

What is B.Sc Data Science?

Undergraduate program in statistics, programming, analytics and machine learning.

Who is eligible for B.Sc Data Science?

Mathematics is commonly required or strongly preferred; institution-specific combinations apply. Verify the current institution and admission notification.

Who should consider B.Sc Data Science?

Suits students who enjoy mathematics, statistics, programming and interpreting evidence rather than only using AI tools.

What is the duration of B.Sc Data Science?

The typical duration ranges from 36 to 48 months, depending on the institution and study structure.

What should parents verify before choosing B.Sc Data Science?

Recognition, syllabus, faculty, facilities, practical training, total cost, progression, refund rules and credible outcome evidence.

How should I decide whether B.Sc Data Science is right for me?

Compare the eligibility, subjects, cost, duration and career outcomes of B.Sc Data Science with your interests and strengths. Verify current details from official institutions before making an admission decision.

Does B.Sc Data Science guarantee a job?

No course guarantees employment. Outcomes depend on recognised education, practical ability, communication, location, employer demand and continued learning.