PU-MSc-IT-BDA-187 | Access India

Master of Science in Information Technology–Big Data Analytics

4 semesters

M.Sc. IT – Big Data Analytics

The M.Sc. in Information Technology with Specialization in Big Data Analytics at Parul University is a 2-year postgraduate programme designed for students seeking advanced expertise in managing, processing and analysing large and complex datasets.

The programme combines Big Data, data science, machine learning, artificial intelligence, predictive analytics and distributed-data technologies.

Programme Overview

Programme: M.Sc. in Information Technology – Big Data Analytics
Duration: 2 years / 4 semesters
Credits: 180
Seats: 60
Language: English
University: Parul University
Location: Vadodara, Gujarat, India
Eligibility: Graduation from a recognized university

International applicants should confirm qualification equivalence and their specific eligibility before admission.

What You Will Study

The programme covers areas including:

Big Data Analytics
Data Mining
Statistical Modeling
Predictive Analytics
Machine Learning
AI Applications in Data Science
Cloud-Based Data Processing
Real-Time Data Processing
Business Intelligence
Distributed Computing
Relational & Non-Relational Databases
Large-Scale Data Processing

Big Data Technologies

The official 2026-27 syllabus includes:

Hadoop
HDFS – Hadoop Distributed File System
MapReduce
Distributed & Parallel Computing
Hadoop Ecosystem
Hadoop Streaming
Cloud Computing for Big Data
Non-Relational Databases
Data Warehousing

Students also complete practical activities involving Hadoop setup, configuration and data-processing tasks.

Data Analytics & Machine Learning

The curriculum also develops knowledge in:

Data preprocessing
Feature engineering
Structured and unstructured data
Linear Regression
Logistic Regression
Support Vector Machines
Supervised Learning
Unsupervised Learning
Introduction to Reinforcement Learning
Predictive Analytics

Practical Learning

Parul University highlights:

Hands-on projects
Internships
Collaboration with data-science firms
Cloud-computing environments
Dedicated data-science facilities
Advanced computing infrastructure
Real-world data applications

The aim is to train students to transform large datasets into meaningful insights that can support decision-making.

Why Can It Be Relevant to Africa?

Digital transformation across banking, telecommunications, FinTech, commerce, government and other sectors is generating increasingly large volumes of data across African economies.

Big Data expertise can contribute to:

Customer analytics
Fraud detection
Predictive modelling
Operational optimisation
Business decision-making
Financial analytics
Digital health
Business Intelligence
Digital transformation

Career Opportunities

Parul University highlights pathways including:

Data Scientist
Big Data Engineer
Machine Learning Analyst
Business Intelligence Specialist
Cloud Data Architect
Data Analyst
Data Analytics Professional
Research Associate

Senior positions such as Data Architect, Lead Data Scientist or Data Team Manager generally require additional professional experience.

Industries

Big Data skills may be applied in:

Banking & Finance
FinTech
Healthcare
Marketing
Telecommunications
E-commerce
Insurance
Cybersecurity
Technology
Consulting
Research

Tuition Fees

Parul University's current programme page lists:

₹1,60,000 per year
approximately ₹3,20,000 over two years, if the fee remains unchanged.

The university notes that tuition fees may vary depending on the country or Indian state in which the applicant completed the qualifying examination.

Accommodation and other university expenses are additional.

Scholarships

Parul University offers different financial-support categories including:

Merit-based scholarships
Sports scholarships
Alumni-related scholarships
Defence-family scholarships

Eligibility and scholarship value depend on the applicant's profile and applicable university conditions.

NB: Tuition fees may be revised by the university. Please always refer to Access India for the latest fees and official information applicable to your intake.