B.Sc in Data Science
Build a future-proof career with a 4-year degree in applied data science, developed in collaboration with KPMG in India.
Download Brochure
Highlights of the Program
Interactive Learning
We focus on practical-based learning to help students apply knowledge to real-life scenarios. This approach enables them to solve real business problems using Data Science techniques.
Evaluation Format
Learners are assessed through quizzes, MCQs, and assignments to ensure steady progress. Each student receives personalized academic and industry mentorship for holistic development.
Extra-curricular Activities
We offer various extracurricular activities for professional growth. These include sessions on current industry trends and networking opportunities with top professionals.
Academic & Career Advancement
Students receive continuous support through:
Evaluation execution
Course progress support
Monitor learning progress
Career assistance
Mock interviews
Placement support
Industrial Visits
CV Building
LinkedIn Profile Building
Internship Training Program
Live Projects
Curriculum
Semester I
- Python Programming
- Descriptive Statistics
- Practical 1
- Open Elective I
- Open Elective II
- Excel for Business
- Office Tools for Data Scientists
- Ability Enhancement Course
- Value Education Course
- Indian Knowledge System (Generic I)
- Co Curricular
Key highlights of our B.Sc in Data Science
Industry certification from edept & KPMG in India
Academic mentoring & peer to peer learning opportunity
Live lectures by industry professionals & self-paced learning
Industry Internship
Comprehensive career assistance including resume building, mock interviews & student profile enhancement
Companies that hire for Data Science roles
Expert-Led Learning:
Mentors from Top Global Firms
With a blend of academic excellence and real-world insights, our faculty members & mentors and enrich the learning experience, preparing students for success in today's dynamic world.
Amit Choudhary
Associate Director KPMG India
Amit Choudhary is an Associate Director - Analytics at KPMG India. He provides guidance in R and Python Scripting, Text Analytics, Data Visualizations using Tableau, R, Python, PowerBi, Data Scraping and Wrangling, Exploratory Data Analysis (EDA), and Advanced... Read more
Jagadish GS
Analyst, Advisory KPMG India
Jagadish, with a background at KPMG Global Services in AML and Risk Management, brings extensive expertise in data analysis techniques including predictive modeling, exploratory data analysis, data wrangling, and unstructured data analysis. Proficient in Python, R, Power Bl,... Read more
Lijin
Assistant Manager, Advisory Bangalore - EGL Pebble Beach KPMG in India
Specialist in Analytics, Machine Learning, and Al, Lijin has experience building and deploying Dashboards and analysing unstructured data. He has trained over 200 profes- sionals in Data Analytics and has executed multiple engagements to establish analytical processes.
Dr. Nitesh Dhar Badgayan
Assistant Manager in Analytics, KPMG in India
Dr. Nitesh is an Assistant Manager in Analytics at KPMG with a PhD in Machine Learning-based Optimization and a post-PhD fellowship from IIT Delhi. Certified in Azure AI and Python, he specializes in data-driven optimization, predictive analytics, and... Read more
Success Stories
Hear from our learners about how our programs helped them grow professionally and personally.
"This data science course has been invaluable, offering the industrial exposure I desired since my foundational education. Packed with practical applications and challenging projects, it has greatly enhanced my skills. I highly recommend it for a hands-on and enriching learning experience."
Nida Qureshi
2nd year, BSC DS student
"The incorporation of extracurricular activities created a holistic learning environment for data science enthusiasts. The hands-on practice not only expanded my knowledge base but also provided with industry relevant experience, making the entire journey much more invigorating."
Aun Raza
2nd year, BSC DS student
"Enriching the knowledge with the help of deep acknowledgement is what's been provided to me from the learning journey. Getting the best aspects of each situation has been taught to me, which makes me very glad that I chose this stream."
Shraddha Tiwari
2nd year, BSC DS student
"BSC Data Science course excels in merging theoretical concepts with hands-on coding, guided by industry experts. It's a unique blend that equips students with practical skills for real-world data science challenges."
Ashir Sable
3rd year, BSC DS student
"The program impressively combines theoretical depth with practical applications, fostering a strong skill set essential for navigating the evolving landscape of data science."
Prajakta Mishra
3rd year, BSC DS student
"This course not only expanded my technical skillset but also transformed the way I approach problem-solving and decision-making. The course helped me to learn Python and R programming, as well as data management tools in R."
Jivesh Gawde
3rd year, BSC DS student
Frequently Asked Questions
1. What is the eligibility criteria for admission?
To apply, students must have cleared HSC (Class 12) in their first attempt. The minimum marks required are 45% for Open category and 40% for Reserved category. The program is open to students from all streams.
2. What is the duration and structure of the program?
This is a 4-year full-time undergraduate degree program under Mumbai University, divided into 8 semesters. It includes practical courses, industry projects, and capstone research.
3. What kind of industry exposure will I get during the program?
Students benefit from industrial visits (e.g., KPMG Innovation Centre), live projects, mentorship from KPMG experts, and internships. The curriculum emphasizes hands-on learning and real-world application.
4. Are there any certifications provided during or after the course?
Yes. Students receive industry-recognized certifications from Edept and KPMG in India at different stages of the program, based on their performance and project completion.
5. What is the total fee for the program and are financial aids available?
The annual fee is ₹1,20,000, totaling ₹4,80,000 for 4 years. Loan options are available to support students financially.
Eligibility & Admission
Eligibility criteria:
- HSC cleared in first attempt
- Open to all streams
- Minimum marks 45% for Open Category nad 40% for Reserved Category
Admission Process:
- Fill out the online application form
- Participate in an evaluation interview with academic and industry representatives
- Receive provisional admission offer
- Confirm seat by paying the program fee
