M.Sc. Data Science and Big Data Analytics

Programme Overview

The M.Sc. in Data Science and Big Data Analytics programme at MIT-WPU blends statistics, mathematics, and software programming to impart a deep understanding of data collection, storage, data organisation, and analysis, propelling students to harness analytics as a potent tool to achieve project objectives with precision. Through mini-projects, hands-on assignments, internships, and immersion programmes, students delve into an array of domains spanning Data Warehousing, Machine Learning, Big Data Architecture, Python, and Cloud computing, exposing them to real-world challenges that foster critical thinking and problem-solving skills. They are equipped with invaluable insights into data visualisation tools such as Microsoft PowerBI and Tableau, and No-SQL databases, alongside professional electives such as Data Analytics Pipeline, Business Analytics, and Big Data Security.

Major Tracks

Data Science and Big Data Analytics

Duration

2 Years

Applications Closed for 2024

Programme Name

M.Sc. Data Science and Big Data Analytics

Fee Per Year

Rs. 2,30,000

Course Structure

Highest CTC
INR 14.9 LPA

Scholarship

Scholarship Name	MIT-WPU CET CBT SCORE
Dr. Vishwanath Karad Scholarship (100%)	90 & Above
MIT-WPU Scholarship I (50%)	88 & Above
MIT-WPU Scholarship II (25%)	85 & Above

Note : *CBT Score = Online Computer Based Test conducted within the MIT-WPU CET 2024 process

Scholarship Details

Eligibility

Minimum 50% aggregate score in B.Sc. (Computer Science), BCA, BCS, B.Sc. (IT), B.E., B.Tech, BBA(CA), B.Sc.Data Science, B.Sc.AI/ML, B.Sc.Cyber Security, B.Sc.Cloud Computing, B.Sc.Big Data Analytics with Mathematics subject in Class 12th or any other relevant 3-year graduation in Computational Science from UGC approved University or equivalent (at least 45% marks, in case of Reserved Class category candidate belonging to Maharashtra State only

Selection Process

The selection process is based on score in MIT-WPU CET PG Computer Science 2024 and Personal Interaction (PI) score

Programme Highlights

Follows a credit system with multiple options for students' flexibility.
Deserving students can benefit from MIT-WPU scholarships.
The curriculum, designed by industry experts, is industry-focused while the integration of Yoga and Peace studies ensures students' holistic development.
Access to a strong global alumni network for networking and job opportunities.
Faculty members with extensive industry, academic, and research experience.
Exposure to industry demands through internships with reputable MNCs like Deloitte Consulting, Cognizant, Infosys, L&T Infotech, and others.
Other opportunities include academic collaborations with renowned universities, industry visits to companies such as Cybage, Inteliment, Xpansion
International, Barclays, Cisco, and others, and immersion programmes for holistic development, including international, national, and rural experiences.

Career Prospects

Apply critical thinking and problem-solving skills adeptly in various scenarios.
Demonstrate comprehensive understanding and application of Data Science and Big Data Analytics concepts.
Cultivate a research-oriented mindset to foster innovation and new ideas.
Prepare for leadership roles in the IT industry through advanced learning.
Effectively communicate and apply Data Science concepts to real-world problem-solving and design.

Placements & Recruiters