MSC in Data Science

Easy EMI

Assured job opportunity

Limited seats available!

Application Closing soon for Jan 2026 Batch

EMI Starts From: ₹7083/-

Live Class:Online

Average Salary:₹12.0LPA

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

Master high-demand programming and analytical Skills essential for lucrative data science careers.

Develop expertise in AI and machine Learning technologies driving digital transformation across industries.

Build practical experience Through real-world projects and industry partnerships for job-ready capabilities.

Access high-growth Career opportunities with average salaries ranging from ?12-34 LPA.

CourseConnect Benefits

What additional you get from CourseConnect

Mock Interview➔
Resume Building➔
Alumni Network➔
Career Guidance➔

Need to consult an Expert?

Have queries or need guidance? Our experts can help you decide.

Eligibility

»Candidate must be an engineering graduate with a minimum of 50% (45% for reserved categories).
» 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).

Talk to our Career Companion

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

Personalized counseling helps you choose the best career fit course.

Only accredited and top ranked university programs are made available here.

Complete support for applications, documents, and all required formalities provided.

Placement training ensures you connect with top recruiters for jobs.

Our students consistently achieve better salaries and rapid career growth.

ProfessionalProfiles

Machine Learning Engineer

Conducts experiments, develops algorithms, advances machine learning knowledge, publishes impactful findings.

AVG SALARY16.0 LPA

NLP Engineer

Builds language models, improves speech recognition, enhances communication between humans and machines.

AVG SALARY14.0 LPA

Computer Vision Engineer

Develops vision algorithms, enables object detection, powers automation, enhances intelligent visual systems.

AVG SALARY18.0 LPA

AI Product Manager

Defines product vision, aligns AI capabilities, drives strategy, ensures market success.

AVG SALARY14.0 LPA

AI Engineer

Designs AI systems, builds scalable solutions, drives innovation across diverse industries.

AVG SALARY12.0 LPA

TopRecruiters

FAQs

What programming languages and tools will you master in this program MSC in Data Science at VIT University?

▼

Students become proficient in Python, R, SQL, along with specialized libraries like Pandas, NumPy, Scikit-learn, TensorFlow, and data visualization tools in VIT University.

How does the program MSC in Data Science balance theoretical knowledge with practical applications at VIT University?

▼

The curriculum combines statistical foundations with hands-on projects, industry case studies, and live data science challenges from partner companies in VIT University.

What machine learning techniques are covered in the program MSC in Data Science at VIT University?

▼

Students learn supervised and unsupervised learning, deep learning, neural networks, natural language processing, computer vision, and reinforcement learning in VIT University.

What big data technologies will you learn?

▼

The program covers Hadoop ecosystem, Apache Spark, NoSQL databases, distributed computing, and cloud-based big data platforms like AWS and Azure.

How does the program prepare students for data science interviews?

▼

Students practice coding challenges, case studies, statistical problem-solving, and portfolio development commonly required in data science hiring processes.

What career paths are available after completing the Online MSC in Data Science at VIT University?"

▼

After completing the Online MSC in Data Science at VIT University graduates pursue roles as data scientists, machine learning engineers, data analysts, business intelligence specialists, and AI researchers across various industries.

How does the program stay updated with rapidly evolving data science trends?

▼

The curriculum is regularly updated to include emerging technologies like AutoML, edge computing, ethical AI, and the latest developments in data science.

What practical experience does the program provide?

▼

Students work on capstone projects, industry internships, hackathons, and collaborative projects with data science professionals and companies.

How does the program support career transitions into data science?

▼

Comprehensive career support includes resume building, portfolio development, networking opportunities, and placement assistance specifically for data science roles.

How does Course Connect's 100% job guarantee apply to this MBA?

▼

Course Connect assures placement by providing customized coaching, practical assignments, interview training, and ongoing job referrals via its corporate network.