Data Analyst
Career preparation includes projects, interview narratives, resume guidance, and portfolio building.
B.Sc Degree Program
B.Sc with Data Science
B.Sc with Data Science combines university-level academic structure with industry specialization, practical tools, guided projects, internship support, and career preparation for modern roles.
3 years Hybrid Class 12 pass with science, mathematics, or computer science interest as per university admission norms.
Duration
3 years
Mode
Hybrid
Career Path
Data Analyst / Junior Data Scientist
Support
Internship + placement guidance
Program overview
Academic degree structure with industry specialization.
B.Sc with Data Science is designed for learners who want formal degree progression along with practical exposure to tools, projects, internships, and modern career roles in Data Science.
Junior Data Scientist
Career preparation includes projects, interview narratives, resume guidance, and portfolio building.
BI Associate
Career preparation includes projects, interview narratives, resume guidance, and portfolio building.
Semester-wise Curriculum
- Semester 1: Foundations, communication, digital literacy, and core concepts
- Semester 2: Programming, business fundamentals, data handling, and lab practice
- Semester 3: Specialization fundamentals, tools, and guided assignments
- Semester 4: Advanced specialization modules and mini projects
- Semester 5: Industry projects, internship preparation, and portfolio development
- Semester 6: Capstone, placement preparation, and final project presentation
Technologies & Tools
- Python
- Statistics
- Machine Learning
- SQL
- Visualization
Industry Projects
- Data Science portfolio project
- Industry case study and presentation
- Dashboard, campaign, system, or product prototype based on specialization
Internship opportunities
Degree learning connected with practical work.
Students receive internship guidance, portfolio review, project documentation support, mock interviews, and placement-oriented counseling.
1
Skill mapping
Mentors help learners connect academic progress with practical career outcomes.
2
Portfolio project
Mentors help learners connect academic progress with practical career outcomes.
3
Internship readiness
Mentors help learners connect academic progress with practical career outcomes.
4
Mock interview
Mentors help learners connect academic progress with practical career outcomes.
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View Program FAQs
Questions about B.Sc with Data Science
Who should choose this program?
Students interested in Data Science careers and a structured B.Sc degree pathway can consider this program after counseling.
Is internship support included?
Yes. Internship guidance, project documentation, portfolio review, and interview preparation are part of the support model.
Is the program online or offline?
The current planned mode is Hybrid, with counseling available for schedule and delivery details.
Will I work on practical projects?
Yes. The specialization includes guided projects and a capstone-style portfolio outcome.
Talk to AI Scholars
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