B.Sc. Data Science at Uttaranchal University, Dehradun
- The Bachelor of Science (B.Sc.) in Data Science at Uttaranchal University, Dehradun is a 3-year undergraduate program designed to develop strong skills in data analysis, statistics, programming, machine learning, and data-driven decision making.
- he program integrates mathematics, computer science, statistics, and real-world data applications, preparing students for careers in data analytics, business intelligence, artificial intelligence, and emerging technology domains.
B.Sc. Data Science – Course Details
Duration: 3 Years (6 Semesters)
Eligibility
Minimum 50% marks for General category
Minimum 45% marks for SC/ST category
University: Uttaranchal University, Dehradun
Course Fee (Per Year)
Uttarakhand Quota: ₹1,42,000
All India Quota: ₹1,54,000
B.Sc. Data Science – Course Structure
The curriculum emphasizes data handling, analytics, programming, and applied machine learning.
| Year | Core Subjects | Advanced / Applied Subjects | Practical & Project Components |
|---|---|---|---|
| 1st Year | Mathematics for Data Science, Programming Fundamentals | Statistics Basics | Programming Lab |
| 2nd Year | Data Structures, Database Management | Data Visualization, Python for Data Science | Data Analytics Lab |
| 3rd Year | Machine Learning, Big Data Analytics | AI Basics, Business Intelligence | Major Project, Internship |
Career Scope after B.Sc. Data Science
Graduates are equipped to work in data-centric roles across industries.
Job Profiles & Key Responsibilities
Data Analyst: Analyze and interpret complex datasets
Business Analyst: Provide data-driven business insights
Junior Data Scientist: Build predictive and analytical models
Data Engineer (Entry-Level): Support data pipeline development
Analytics Consultant: Assist in data-driven decision-making projects
Career Sectors
IT & Software Companies
Analytics & Consulting Firms
Banking, Finance & FinTech
E-commerce & Digital Platforms
Healthcare & Research Organizations
Why Choose B.Sc. Data Science at Uttaranchal University?
Industry-oriented data science curriculum
Strong focus on programming, analytics, and machine learning
Hands-on labs, projects, and real-world datasets
Excellent foundation for M.Sc. Data Science, AI/ML, and analytics careers
