By Team NSHM | Jun 21, 2018

How to decide if a M.Sc. in Data Science & Analytics is the right course for you?

M.Sc. in Data Science & Analytics is a new and swiftly popular course that aims to bring skilled professionals to the industry that is highly data and analytics-driven. But choosing the right institute can be a daunting task. Here are some pointers to consider:

Don’t judge a book by its cover:

Since this is a non-traditional course, there are no strict names for the course. As long as the content and course curriculum is comprehensive and industry relevant, the nomenclature does not matter. Thus a well-formed course curriculum should be the prime focus and not the name of the course. Some similar courses that sound different are:

  • Masters in Analytics,
  • Masters in Business Analytics,
  • Masters in Data Science,
  • Masters in Predictive Analytics,
  • Masters in Marketing Analytics,
  • Masters in Information Systems, etc.

Focus on the curriculum:

The most vital aspect to consider is also the most primary part of your search and that is the course curriculum. It gives you an overview of the subject matter covered in the course. This helps form an impression of how the course will progress. A sub-factor in this would be assessing the ratio between electives and compulsory subjects because at PG level expertise is something that holds greater value than anything else. While on this one can check up the faculty for the department and check up the kind of teachers and their contribution to the courses.

Put theory to practice:

Practical training opportunities need to be the next point of focus. This can be in the form of internships, capstone projects, industry visits, etc. Since this PG degree is based on a topic like data science which is a highly application-oriented domain, practical training plays a crucial role in overall development. The campus infrastructure also plays a part in this. Good internship opportunities and exposure to the data science community gives students of this course access to specialized interactions. The networking that comes with these interactions will also assist in future job search and placements.

Industry Oriented Projects & Research:

The subject matter of this course is such that the main focus lies in seamlessly incorporating a good chunk of real-life scenarios in the curriculum. This also means that industry collaborations will play a key role in developing the skill set of the students in the course.

Analytics is highly dependent upon the interpretation of historical trends and current data flows to arrive at a conclusive direction for an organization to follow hence most of the learning will come from these aspects. This also highlights how much research is essential in this field of studies. A master’s degree will be the perfect launch pad for your future research career.

Rankings & Recognition:

This is a relatively new course and so most institutes are treading in virgin territories. However, recognition makes a world of difference because it implies that the course has already hit the right notes. While the university plays a vital role, the institutes also should be one of the top bracket ones to be able to provide the right infrastructure and pedagogy to stand out in the crowd. Rankings come out annually by leading publications like India Today and Outlook where the best institutes across India get prominence.

Alumni Network:

When all of the above has been sorted, the next step is to explore the Alumni connections in order to find out more about the institute and the life on campus. For this Linked in and social media plays a vital role.