Master of Science in Data Science

The master of science in data science, also known as the msc in data science course, is a postgraduate program offered by sgt university's faculty of applied and basic sciences. The program is designed to equip students with advanced data analysis, management, and interpretation skills. The msc data science course duration is 2 years, comprising 4 semesters. 

This MSc in Data Science course combines theoretical knowledge with practical experience, preparing graduates for various roles in the rapidly growing data science field. The course includes training in programming languages, statistical modelling, machine learning, and data visualisation, allowing students to work with real-world datasets and develop the ability to identify patterns, interpret results, and communicate findings effectively.

MSc Data Science Syllabus
The MSc in Data Science syllabus is structured to provide a robust foundation in data science principles, methodologies, and applications. 

Key areas of study include:

• Programming for Data Science
• Statistical Analysis
• Machine Learning
• Data Visualization
• Big Data Analytics
• Ethics in Data Science

The program emphasises hands-on learning, enabling students to apply their knowledge in practical settings.

MSc Data Science Subjects
The subjects covered in the MSc Data Science program include:

• Data Structures and Algorithms
• Statistical Methods for Data Science
• Machine Learning and Data Mining
• Data Visualization Techniques
• Big Data Technologies
• Research Methodologies in Data Science
• Capstone Project

This diverse MSc in Data Science subject matter ensures that graduates are well-rounded and capable of tackling various challenges in the data science landscape.

Eligibility

• Bachelor's degree with Statistics, Mathematics, or Computer Science as one of the subjects (for at least one semester) or an equivalent degree from a recognised university, with a minimum of 55% marks.

Top Job Profiles

• Data Scientist, Data Analyst, Data Engineer, Machine Learning Engineer, Business Intelligence Developer, AI Research Scientist, NLP Engineer, Data Architect, Business Analyst, Data Query and Collection Specialist, etc.

Top Job Recruiters

• Amazon, Ernst & Young, Deloitte, Flipkart, Accenture, Citrix, JP Morgan, Oracle, Fractal Analytics, Airtel X Labs, NLB Services, etc.