B. Sc. (Bachelor of Science) in Analytics – New Design
May 12, 2025 2025-06-14 11:04B. Sc. (Bachelor of Science) in Analytics – New Design

Intake & Venue
Kharghar : 60

Skill Program Domain
Science, Engineering & Technology

Fees (per year)
₹ 50,000

Specializations
Program Details
The BSc. program with a specialization in Analytics at Ratan Tata Maharashtra State Skills University (RT-MSSU) is designed to cultivate future business leaders who are also proficient in data analysis and interpretation. This program blends core business administration principles with specialized training in analytics, ensuring graduates can make data-driven decisions and drive business growth.
Aligned with the National Education Policy (NEP) 2020, the program offers multiple exit options: students can exit with a Diploma after 2 years, a B.Voc after 3 years, or complete the full BSc. (Analytics) degree after 4 years. The curriculum is structured around a 60:40 skill-to-academics ratio, with 60% dedicated to skill development through specialized analytics courses, software training, and practical applications, and 40% focused on building a strong foundation in general business administration. The program includes a full year of On-the-Job Training (OJT) in the final year to provide students with essential real-world experience.
The curriculum provides a comprehensive understanding of business analytics, covering areas such as statistical analysis, data visualization, machine learning, and big data. The program incorporates industry-relevant training and prepares students for roles such as Data Analyst, Marketing Analyst, and Business Analyst.
KHARGHAR | 60 |
THANE | — |
PUNE | — |
NAGPUR | — |
FIRST YEAR EXIT | CERTIFICATE |
SECOND YEAR EXIT | DIPLOMA |
THIRD YEAR EXIT | B.VOC. |
FOURTH YEAR EXIT | B.Sc (Hons) |
OPEN | 50,000 |
SC | 2,660 |
ST | 2,660 |
OBC | 28,985 |
NJ/NT | 3,985 |
NT-A | 3,985 |
NT-B | 3,985 |
NT-C | 3,985 |
NT-D | 3,985 |
VJ | 3,985 |
SBC | 50,000 |
SEBC | 50,000 |
Sample Courses in BSc (Analytics):
• Business Statistics
• Business Mathematics
• Fundamentals of Python
• Data Visualization using Excel and Power BI
• SQL and Data Management
• Introduction to AI and Machine Learning
• Predictive Modelling
• Agentic AI
• Web and Social Media Analytics
• Big Data Analytics
With its focus on developing both business acumen and analytical skills, the BSc. Analytics program at RT-MSSU prepares graduates to excel in a data-driven business environment.
The following skills are imparted during the course of the program:
• Operating System & Network Administration
• Cloud Architecture & Security Cloud Operations & Resource Optimization
• Problem-Solving & Analytical Thinking
Candidates studying at a Skills University shall have the option of getting job ready by acquiring skills at all semesters through learning by doing and experiential learning. At the skills university the candidates shall be benefited by –
• One year job experience
• 6 NSQF Industry aligned certifications
• 10 Industry aligned certifications
Readiness for following, but not limited to, job roles
• Azure AI Developer
• Python Programmer
• Data Analyst
• Marketing Specialist
• Business Analyst
• AI Solution Architect
• Data Engineer
• Team Leader- Retail Store
• Market Research Analyst
• Supply Chain Manager
Admission Details
Higher Secondary School Certificate (10 +2) or its equivalent examination with 45 % marks from any stream (40 % for Reserved category and 40 % marks for open category candidate and English as one of the subjects.
OR
Three-year Diploma Course (after SSC) of Technical Education conducted by the Government of Maharashtra or equivalent.
OR
ITI (1 year’s trade) with one year of apprenticeship completed with industry and certified.
OR
ITI (2 years trade) with 12th equivalent certificate in both cases.
One of the following:
• RT-MSSU
• CUET
• MHCET
Aspiring candidates must :
• Fill in the admission form of RT-MSSU
• Have appeared for entrance test conducted by RT-MSSU/CUET/MHCET
• Submit the relevant documents to RT-MSSU
• Submit the Statement of Purpose to RT-MSSU
• Appear for Interviews conducted by RT-MSSU
Admissions shall be granted basis a merit list as per the weightage given below:
- Qualifying Exam (HSC/ITI/Diploma): 25%
- Entrance Exam : 25%
- Statement of Purpose & Interview : 15%
- Interview: 35%
NO | DOCUMENT | CATEGORY |
1 | SSC Mark Sheet | All Category |
2 | 11th Mark Sheet | All Category |
3 | 12th Mark Sheet | All Category |
4 | Domicile Certificate | All Category |
5 | Income Certificate | All Category |
6 | TC/LC | All Category |
7 | Caste Validity Certificate | OBC, SC, ST, NJ/NT, EBC, NT-A,NT-B, NT-C,NT-D, VJ, SBC, SEBC |
Curriculum Structure
Semester I
Type | Courses | Credits |
Discipline Core | Introduction to Statistics | 4 |
Discipline Core | Introduction to Mathematics | 4 |
Discipline Elective | Introduction to Databases | 3 |
Skill Enhancement | Communication & Business Writing | 2 |
Ability Enhancement | MS Excel (NQR) | 3 |
Value Added Courses | Seva, Sadhana, Samarthya | 2 |
Multi-Disciplinary Courses | Fundamentals of Business Management | 3 |
Total Credits | 21 |
Semester II
Type | Courses | Credits |
Discipline Core | Applied Statistics I | 4 |
Discipline Core | Applied Mathematics – I | 4 |
Discipline Elective | Understanding Databases | 3 |
Skill Enhancement | Introduction to Python | 2 |
Ability Enhancement | Advance Excel (NQR) | 3 |
Value Added Courses | Mini Project – I | 2 |
Multi-Disciplinary Courses | Introduction to Economics | 3 |
Total Credits | 21 |
Semester III
Type | Courses | Credits |
Discipline Core | Applied Statistics II | 4 |
Discipline Core | Applied Mathematics – II | 4 |
Discipline Elective | Understanding Analytics for Applications | 3 |
Skill Enhancement | Python for Analytics | 2 |
Ability Enhancement | Data Visualization | 3 |
Value Added Courses | Mini Project – II | 2 |
Multi-Disciplinary Courses | Human Resource Management | 3 |
Total Credits | 21 |
Semester IV
Type | Courses | Credits |
Discipline Core | Business Research Methods | 4 |
Discipline Core | Machine Learning – I | |
Discipline Elective | AI for Business | 3 |
Skill Enhancement | Storytelling Using Data | 2 |
Ability Enhancement | Software I | 3 |
Value Added Courses | CSR & Sustainability | 2 |
Multi-Disciplinary Courses | Foreign Language I | 3 |
Total Credits | 21 |
Semester V
Type | Courses | Credits |
Discipline Core | Forecasting Methods | 4 |
Discipline Core | Machine Learning – II | |
Discipline Elective | Big Data Analytics | 3 |
Skill Enhancement | Cloud Computing | 2 |
Ability Enhancement | Software – II | 3 |
Value Added Courses | Mini Project – III | 2 |
Multi-Disciplinary Courses | Foreign Language – II | 3 |
Total Credits | 21 |
Semester VI
Type | Courses | Credits |
Discipline Core | Computer Vision | 4 |
Discipline Core | Machine Learning – III | |
Discipline Elective | Natural Language Processing | 3 |
Skill Enhancement | Agentic AI | 2 |
Ability Enhancement | Web & Social Media Analytics | 3 |
Value Added Courses | Google Analytics | 2 |
Multi-Disciplinary Courses | Foreign Language – III | 3 |
Total Credits | 21 |
Semester VII
Type | Courses | Credits |
OJT | 16 | |
Value Added Courses | Project Management | 2 |
Multi-Disciplinary Courses | Major Project – I | 0 |
Total Credits | 21 |
Semester VIII
Type | Courses | Credits |
OJT | 16 | |
Value Added Courses | Ethics, Privacy & Security in Analytics | 2 |
Multi-Disciplinary Courses | Major Project – II | 0 |
Total Credits | 21 |