Pratistha Online

Master of Science

About Program

Master of Science (M.Sc.) is a 2-year postgraduate degree in the field of science, technology, or applied sciences. It offers advanced theoretical and practical knowledge in a specific discipline and is ideal for students who want to deepen their expertise and pursue careers in research, academics, industry, or higher studies like Ph.D.

Download Brochure

Master of Science Program Accreditations:

UGC

NIRF

Master of Science (M.Sc.) is a 2-year postgraduate degree focused on advanced studies in scientific and technical fields. It provides in-depth knowledge, research skills, and practical training in a chosen specialization such as Physics, Chemistry, Mathematics, Biology, Computer Science, or Environmental Science.

The M.Sc. program is designed to prepare students for careers in research, education, industry, or further academic study (like Ph.D.). It emphasizes scientific thinking, analytical ability, and subject-specific expertise.

📅 Duration: 2 Years (4 Semesters)

🎯 Focus: Data handling, programming, statistics, machine learning, and business insights.

📘 Semester-wise Curriculum

🔹 Semester 1 – Foundations of Data Science

Subject	Description
Mathematics for Data Science	Linear algebra, probability, and statistics fundamentals
Programming in Python	Basics of Python with a focus on data manipulation
Data Structures and Algorithms	Core algorithms, trees, graphs, searching, sorting
Database Management Systems (DBMS)	SQL, relational databases, normalization
Data Visualization	Tools like Matplotlib, Seaborn, Tableau basics
Lab	Python and DBMS practicals

🔹 Semester 2 – Intermediate Techniques

Subject	Description
Machine Learning	Supervised & unsupervised learning, scikit-learn
Big Data Analytics	Hadoop, MapReduce, Spark
Statistics for Data Science	Hypothesis testing, distributions, regression
R Programming	Data analysis and statistical modeling in R
Data Warehousing and Mining	OLAP, data cubes, mining algorithms
Lab	ML model building and evaluation

🔹 Semester 3 – Advanced Concepts and Specialization

Subject	Description
Deep Learning	Neural networks, CNNs, RNNs using TensorFlow/Keras
Natural Language Processing (NLP)	Text mining, sentiment analysis, NLTK/spaCy
Cloud Computing for Data Science	AWS, Google Cloud, Azure basics
Elective I (choose one)	Examples: Time Series Analysis, Bioinformatics, Reinforcement Learning
Capstone Project I	Real-world problem using complete data science lifecycle

🔹 Semester 4 – Industry Readiness & Research

Subject	Description
AI & Ethics	Responsible AI, data privacy, bias in models
Elective II (choose one)	Advanced topics like Computer Vision, Blockchain, Data Engineering
Research Methodology	Academic research skills, report writing, publication standards
Capstone Project II / Thesis	Final project with real data, industry collaboration or academic advisor
Viva Voce	Project presentation and defense

�

💼 Top Job Roles

Role	Description
Data Scientist	Analyze large datasets to uncover patterns, build predictive models
Machine Learning Engineer	Design and deploy ML models using Python, TensorFlow, etc.
Data Analyst	Prepare reports, dashboards, and visualizations for decision-making
Business Intelligence (BI) Analyst	Convert data into actionable business insights
AI Engineer	Work on artificial intelligence systems like chatbots, recommendation engines
Big Data Engineer	Build data pipelines using Hadoop, Spark, and cloud tools
Data Engineer	Manage and organize raw data, build ETL systems
NLP Specialist	Build systems that understand and process human language
Quantitative Analyst (in finance)	Use math & data models for stock and risk prediction
Researcher / Data Science Academic	Involved in advanced AI research or teaching in universities

🌐 Industries That Hire M.Sc. Data Science Graduates

IT and Software – Google, Microsoft, TCS, Infosys, Wipro
E-commerce – Amazon, Flipkart, Myntra
Finance and Banking – ICICI, HDFC, Axis Bank, JPMorgan
Healthcare – Apollo, Practo, AIIMS, Health tech startups
Telecom – Jio, Airtel, Vodafone Idea
Retail / FMCG – Reliance Retail, Big Bazaar, Hindustan Unilever
Startups & AI Companies – Zomato, Swiggy, Meesho, CRED
Government & Research – ISRO, NIC, DRDO, Ministry of IT, NITI Aayog

📈 Salary Scope in India (Approximate)

Role	Freshers	Experienced
Data Scientist	₹6–10 LPA	₹15–30+ LPA
ML Engineer	₹8–12 LPA	₹20–35+ LPA
Data Analyst	₹4–8 LPA	₹10–20 LPA
AI Engineer	₹10–15 LPA	₹25–40+ LPA
Data Engineer	₹6–10 LPA	₹18–30+ LPA

🪙 Abroad (USA, UK, Canada): Starting salary ranges from $70,000 – $120,000 per year

📌 Certifications to Boost Job Potential (Optional)

Google Data Analytics Certificate
Microsoft Certified: Data Scientist Associate
IBM Data Science Professional Certificate
AWS Certified Data Analytics
Tableau Desktop Specialist
Databricks / Snowflake / SAS Certifications

🧑‍🎓 Further Study or Career Options

Pursue Ph.D. in AI, ML, or Big Data
Become a professor/lecturer in universities
Start your own analytics or AI consultancy
Enter Govt/PSU jobs in data roles via GATE, ISRO, DRDO exams

Fee Structure

No fee data available for this course.

Additional Details

🔵 Duration: 4 Semester
🔵 Language: English

Total Course Fee by nationality

🌐 Indians: ₹ - ₹

Master of Science - ONLINE