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 Name | MSc Data Science |
| Admission Process | Merit-Based/Entrance Exam |
| Full-Form of MSc Data Science | Master of Science in Data Science |
| Duration | 2 Years |
| Average Salary Offered | INR 04 to 08 lakhs per annum (LPA) |
| Average Fees Incurred | INR 01 to 02 lakhs |
| Eligibility | BCA/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 I | Semester II |
| Mathematics for Spatial Sciences | Spatial Big Data and Storage Analytics |
| Applied Statistics | Data Mining and Algorithms |
| Fundamentals of Data Science | Machine learning |
| Python Programming | Advanced Python Programming for Spatial Analytics |
| Introduction to Geospatial Technology | Image Analytics |
| Programming for Spatial Sciences | Spatial Data Base Management |
| Business Communication | Flexi-Credit Course |
| Cyber Security | – |
| Integrated Disaster Management | – |
| Semester III | Semester IV |
| Spatial Modelling | Industry Project |
| Summer Project | Research Work |
| Web Analytics | – |
| Artificial Intelligence | – |
| Flexi-Credit Course | – |
| Predictive Analytics and Development | – |
