Admission to the M.Sc. in Data Science: Fee, Eligibility, Top Colleges, and Syllabus

Admission to the M.Sc. in Data Science: Fee, Eligibility, Top Colleges, and Syllabus

Admission for MSc Data Science 2023–24: The MSc Data Science program requires two years to complete. There are four semesters in it. Students learn about mathematics, statistics, and programming in this course in order to examine data from the actual world. In this field, insights are drawn from massive amounts of data utilizing scientific procedures, processes, and algorithms.

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Master of Science in Data Science, full-form.

Selection Method: Eligibility for the entrance test or merit scholarship: Bachelor’s degree with 50% Science Stream content.

Exams for admission: MET, CUET, and GSAT

Fee: between INR 1 and 2 lakhs

Earnings Range: INR 04 to 08 lakhs annually (LPA).

ICICI Bank, Infosys, TCS, Wipro, Deloitte, JP Morgan, Morgan Stanley, Wells Fargo, KPMG, PWC, Accenture, and other top hiring companies.

Leading Manager, Vice President, Business Operations Manager, Technical Product and Program Manager, Data Science Manager, etc. are some of the top job profiles.

An advanced degree program called a Master of Science is created to give students specific instruction in analytical statistics, which has applications in the computer and biological sciences.

Data science highlights for the MSc

Course NameMSc Data Science
Admission ProcessMerit-Based/Entrance Exam
Full-Form of MSc Data ScienceMaster of Science in Data Science
Duration2 Years
Average Salary OfferedINR 04 to 08 lakhs per annum (LPA)
Average Fees IncurredINR 01 to 02 lakhs
EligibilityBCA/B.Sc in a relevant discipline, BE/ B.Tech

Admission to MSc Data Science 2023–24

Admission to the MSc Data Science program is based on how well applicants perform on a university-conducted entrance exam. Through a variety of tools, the study of mathematics provides solutions to issues. These programs teach development, coding, database management, and other topics. eligibility requirements for admission to master’s programs in data science, or an equivalent UG or PG degree with a minimum cumulative GPA of 50 to 60%.

For data analysis, it employs a variety of methods from mathematics, computer science, information science, and statistics. This field is widely used in all areas of the economy and is crucial to the expansion of the economy.

The subject of the MSc in Data Science course is information extraction from data. The data may or may not be structural. Numerous scientific algorithms, methods, and procedures are employed for this aim. Data science also includes big data, deep learning, and data analysis.

The MET, CUET, and GSAT are a few well-known entry tests offered for the MSc Data Science program.

Loyola College, VIT, Amity University, Gautam University, Manipal University, and other top universities for data science are among them.

IBM, Wipro Ltd., Deloitte, Sigma, Credence, Amazon, Cartesian Consulting, Global Analytics, Oracle, TEG Analysis, and others are well-known employers.

Data Scientist, Analytics, Mining Engineer, Teacher, Data Architect, Data Solution Analyst, Data Engineer, etc. are all in-demand careers.

To advance one’s academic career, one might apply for admission to MPhil and Ph.D. programs in data science.

Cybersecurity, Web Analytics, Data Mining, Algorithms, Machine Learning, Python, Image Analytics, and other topics are covered in the MSc Data Science curriculum.

Admission Requirements for MSc in Data Science 

The need to have a BSc degree in the pertinent subject of study is the same as for other PG courses. To pass, you must receive at least 50%.

Fee Schedule

The MSc Data Science course fee ranges from INR 1 to INR 2 lakhs.

Salary Provided

On average, data scientists make between INR 04 and INR 08 lakhs per year (LPA).

M.Sc. Admission Syllabus for Data Science

Semester ISemester II
Mathematics for Spatial SciencesSpatial Big Data and Storage Analytics
Applied StatisticsData Mining and Algorithms
Fundamentals of Data ScienceMachine learning
Python ProgrammingAdvanced Python Programming for Spatial Analytics
Introduction to Geospatial TechnologyImage Analytics
Programming for Spatial SciencesSpatial Data Base Management
Business CommunicationFlexi-Credit Course
Cyber Security
Integrated Disaster Management
Semester IIISemester IV
Spatial ModellingIndustry Project
Summer ProjectResearch Work
Web Analytics
Artificial Intelligence
Flexi-Credit Course
Predictive Analytics and Development

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