
VIT Online MSC in Data Science

Course Overview
VIT University's Online Master of Science in Data Science is a cutting-edge 2-year program designed to meet the explosive demand for data professionals across industries. This comprehensive curriculum combines statistical analysis, machine learning, big data technologies, and business analytics to create industry-ready data scientists. The program covers Python, R, SQL, deep learning, natural language processing, and cloud computing platforms while emphasizing practical applications through real-world projects. With experienced faculty and industry partnerships, students gain hands-on experience with data visualization, predictive modeling, and AI implementation. The flexible online format enables working professionals to transition into high-paying data science roles while maintaining their current commitments. Graduates are prepared for lucrative positions in technology, finance, healthcare, and consulting sectors.
Course Highlights
Comprehensive Programming Skills: Master Python, R, SQL, and specialized libraries for data manipulation and analysis.
Machine Learning and AI: Learn supervised and unsupervised learning, deep learning, and neural network implementations.
Big Data Technologies: Gain expertise in Hadoop, Spark, NoSQL databases, and cloud-based data platforms.
Business Analytics Applications: Apply data science techniques to solve real business problems across industries.
Data Visualization Mastery: Create compelling insights using Tableau, Power BI, and advanced visualization libraries.
Industry Projects: Work on live data science projects with partner companies and build a professional portfolio.
Cloud Computing Integration: Learn AWS, Azure, and Google Cloud platforms for scalable data science solutions.
Career Certification Preparation: Training aligned with industry certifications and data science professional requirements.
Course
Benefits
CourseConnect Benefits
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Alumni Network➔
Career Guidance➔
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Eligibility
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Candidate must be an engineering graduate with a minimum of 50% (45% for reserved categories).
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Candidates must have a bachelor's degree of at least 3 years duration in statistics, mathematics, computer science, engineering and technology from a recognised university/institution and an aggregate grade of at least 50% (45% for reserved categories).

Course
Fees


Total 2 semester
INR 95,000 / Semester
*Fees may vary kindly check the actual fee with our counsellor
Full course fee
INR 1,90,000
*Inclusive of all taxes
EMI starting at
INR 7,917 / Month
*Terms & Conditions apply
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Course Syllabus
| S.No | Credit | Subject |
|---|---|---|
| 1 | DS101 | Linear Algebra |
| 2 | DS102 | Probability and Distribution Models |
| 3 | DS103 | Exploratory Data Analysis |
| 4 | DS104 | Data Structures and Algorithms |
| 5 | DS105 | Python Programming |
| S.No | Credit | Subject |
|---|---|---|
| 1 | DS201 | Forecasting and Predictive Analytics |
| 2 | DS202 | Statistical Inference |
| 3 | DS203 | Data Base Management Systems |
| 4 | DS204 | Data Mining |
| 5 | DS205 | Artificial Intelligence |




















