Leading businesses leverage Data Science to infer meaningful patterns hidden in large volumes of data to make effective business decisions. As per the latest reports, the global Data Science sector will witness 11.5 million jobs by 2026. If you want to build your career in Data Science, a master’s degree will lay a strong foundation making you career ready. So, let’s understand everything about a master’s in Data Science.

Key Highlights

• What is MSc Data Science?
• Best universities for Data Science
• MSc Data Science eligibility
• MSc Data Science syllabus
• FAQs

What is MSc Data Science?
Master of Science (MS) in Data Science, also known as MSc, is a degree program that imparts advanced knowledge and domain-specific skills to enable you to launch your career in Data Science. Since Data Science is an in-demand career avenue, it is worth pursuing this popular stream.

• What will you study when you pursue MS in Data Science?

MS in Data Science is a multidisciplinary program comprising Applied Statistics, Database Systems & Data Preparation, Machine Learning, Computer Science, Maths, and other interesting subjects. Once you are equipped with broad skill sets, you will be ready for various career avenues, such as Data Engineering, Data Architecture, or Computer Programming. Also, since Data Science vastly depends on languages such as Python and R, coding knowledge is essential.

• Who should pursue post-graduation Data Science courses?

Students with a degree in Science, Technology, Engineering and Maths, i.e., students from a STEM background or commerce graduates with a fascination for Data Science, can opt for an MS degree in this domain. If you have studied subjects such as Computer Science and Statistics and have strong analytical and problem-solving skills, MS in Data Science can open a new dimension of career opportunities for you. Although the post-graduate study program in Data Science is a rigorous program, your dedication and hard work will take you a long way.

Best universities for Data Science

• The US
• Harvard University
• Stanford University
• Yale University
• Columbia University
• University of Pennsylvania
• University of Michigan
• New York University

• The UK
• University of Oxford
• Imperial College London
• University College London
• University of Edinburgh
• King’s College London

• Canada
• University of Toronto
• The University of British Columbia
• University of Montreal
• University of Alberta
• University of Ottawa

• Australia
• University of Melbourne
• Monash University
• The University of Queensland
• The University of Sydney
• Australian National University

• Germany
• Technical University Munich
• Ludwig Maximilian University of Munich
• University of Tuebingen
• Free University of Berlin

MSc Data Science eligibility

• To pursue a post-graduate degree in Data Science, you need to complete a bachelor’s degree.
• Meet the minimum percentage requirements of your chosen university.
• Appear for any of the following English proficiency tests:
• International English Language Testing System (IELTS)
• Test of English as a Foreign Language (TOEFL)
• Duolingo English Test (DET)
• Pearson Test of English (PTE)
• To secure a spot in a master’s program, you have to appear for entrance exams. Students must appear for the Graduate Management Admission Test (GMAT) for management programs. You can apply for Graduate Record Examinations (GRE), which is meant for management and graduate courses.
• Keep your documents, including academic transcripts, Statement of Purpose (SOP), Letter of Recommendation (LOR) and CV in place.

Note: Please check university-specific requirements to ensure a seamless application process.

The syllabus will differ from university to university. However, most programs will include the following subjects.

Probability And Distribution Theory	Regression Analysis	Machine learning
Python Programming	Introduction to Geospatial Technology	Exploratory Data Analysis
Natural Language Processing	Design and Analysis of Algorithms	Image Analytics

 

FAQs

• What job opportunities can you explore after completing a master’s in Data Science?
• Data Scientist
• Business Analyst
• Data Analyst
• Software Engineer
• Data Manager
• Machine Learning Engineer
• Data Architect
• Statistician
• Data Engineer

• Can you study further after MS in Data Science?

You can pursue an MPhil, MBA or PhD after completing your post-graduation to gain advanced knowledge.
So, now you start planning your academic journey to pursue a master’s in Data Science. To finance your MS degree independently, you can opt for an education loan for study abroad programs. At Avanse Financial Services, we offer a loan for education with multiple benefits such as 100% financing, quick sanctions, flexible repayment options and more. If you want more information, please connect with us.