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B.Sc (H) – Data Science

B.Sc in Data Science offers 90% practical training in Python, machine learning, data visualisation, and AI. Work with real datasets and industry projects to build job-ready data skills.

4 YrsFull degree
10+Industry tools
UGCRecognised degree
B.Sc (H) – Data Science

What You'll Learn in B.Sc (H) – Data Science

This comprehensive Data Science degree course covers key areas such as statistics, programming, machine learning, AI, cloud computing, and big data. Students gain hands-on experience in Python, R, SQL, Power BI, and data visualization tools, along with industry-relevant skills in HR, marketing, and financial analytics. The course includes ethical hacking, cybersecurity, and research methodologies, culminating in a capstone project on machine learning to ensure real-world expertise.

  • Statistics & Maths

    The probability, statistics and maths that data models rest on.

  • Programming Python & R

    Python and R for data handling, analysis and automation.

  • Machine Learning & AI

    Supervised, unsupervised and deep learning on real data.

  • Databases & Big Data

    SQL, NoSQL, data warehousing and big data processing.

  • Data Visualisation

    Power BI, Tableau and clear reporting for decisions.

  • Projects & Research

    Live projects, an internship and a final research dissertation.

Duration, Eligibility and Admission Process

The two things every applicant checks before enquiring, answered on the page.

  • Duration

    4 Years | 8 Semesters

    Four academic semesters plus a one-year paid internship.

  • Eligibility

    Class 12 (10+2) Pass

    Class 12 (10+2) pass, preferably with Mathematics, any recognised board.

Admission Process
1
Enquire

Submit the enquiry form or call the admission team.

2
Counselling

Receive free counselling regarding eligibility and fees.

3
Documents

Submit your marksheets, ID proof and passport-size photographs.

4
Registration

Complete registration and pay the admission fee.

5
Onboarding

Attend orientation and start your academic journey.

Programme Curriculum

  • Descriptive Statistics
  • Introduction to Programming
  • Introduction to Database Management System
  • Mathematics for Data Science I
  • Communicative English
  • Indian society and culture
  • Introduction to R Programming& Microsoft Excel
  • Open Elective - I: Introduction to C Programming
  • Entrepreneurship Skill Development
  • Probability Theory 1
  • Advanced Statistics
  • Introduction to Python Programming
  • Financial Accounting-II
  • Business Ethics and Governance
  • Introduction to Python and Programming(Practical)
  • Soft Skills (Practical)
  • Open Elective - II: Java Programming
  • Entrepreneurship Skill Development
  • Probability Theory and Bayesian Statistics
  • Machine Learning and Deep Learning
  • Packages in Python and Data processing
  • Mathematics for Data Science -II
  • Marketing Analytics
  • Packages in python programming and Data processing
  • Open Elective - III: Data Processing and EDA
  • Entrepreneurship Skill Development
  • Foreign Language
  • Introduction to Cloud Computing
  • Object Relational and NoSQL Databases
  • HR Metrics and Analytics
  • Operation Research and optimization techniques
  • Object Relational & Data visualisation
  • Open Elective - IV: Data Visualization
  • Entrepreneurship Skill Development
  • Business Analysis
  • Data Mining and Visualization Using R Programming
  • Introduction to Artificial Intelligence
  • Handling Human value in workplace
  • Open Elective - V: Leadership and Skill development
  • Internship, Project Work & Viva Voce
  • Big Data Processing Techniques and Platforms
  • Data Processing and Scrapping
  • Ethical Hacking and Cyber Security
  • Management Information System
  • Open Elective - VI: Capstone Project on Machine Learning
  • Internship, Project Work & Viva Voce
  • Universities Who Offer this Programme

    Your Career Journey, Step by Step

    • Semester 1 – 2

      Build the Base

       

    • Semester 3 – 4

      Master Industry Tools

       

    • Semester 5 – 6

      Paid Internship

       

    • Semester 7 – 8

      Advanced Learning

       

    • After Graduation

      Become Job-Ready

       

    Career Options After the Degree

    How roles progress, from your first data job to head of analytics.

    Entry Level

    Your first data role

    1. Data Analyst
    2. Junior Data Scientist
    3. Business Analyst
    4. MIS Analyst
    5. BI Developer

    Mid Level

    With a few years behind you

    1. Data Scientist
    2. Machine Learning Engineer
    3. Data Engineer
    4. Analytics Consultant
    5. BI / Visualisation Specialist

    Senior Level

    Where the track leads

    1. Senior Data Scientist
    2. Lead ML Engineer
    3. Data Science Manager
    4. AI / ML Architect
    5. Head of Analytics

    Data Analyst Salary Insights in India

    • Entry-level roles (Data Analyst, Junior Data Analyst) start around ₹4 – 6 LPA.
    • As a Data Scientist with 3 to 5 years of experience, the range moves to ₹9 – 14 LPA.
    • Python, SQL, machine learning and AI skills lift you within the band.
    • IT services, BFSI, e-commerce and healthcare hire the most.

    Want the Fee Structure and University Options for Your Profile?

    Share your details once. A counsellor will walk you through eligibility, university choice, the apprenticeship year and the fee structure that applies to you.

    Get complete course details
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    • 1 year Paid Internship
    • Job Ready Curriculum
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