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Why A Full-Time Master’s Degree Is The Best Analytics Pathway For Graduates


Why A Full-Time Master’s Degree Is The Best Analytics Pathway For Graduates


For many, a Master’s degree in Data Science and Analytics can be a passport to an exciting and rewarding career in this high-growth and evolving field. New data science programmes, offered in the online and hybrid format may lack the rigour of a full-time post graduate degree programme.

Let’s evaluate why a Master’s degree programme offered through schools that have deep background in computer science, information technology is worth considering.



1) Over the last five years, Data Science has become a trending topic as companies and startups have gone on a hiring spree to build their analytics units. Hence, Data Analysts and Business Managers who can effectively and more efficiently crunch data to improve decision making and business strategy are much in demand.

2) A typical Data Science Master’s programme combines an in-depth theoretical understanding of data acquisition, data cleansing, analysis, data mining and the architecture backed by industry-driven skills such as visualization so that complex analysis can be rendered in an easy-to-understand way for the general users.

3) In view of the above, given the increasing trend in demand for skilled data scientists in the industry, an intensive data science programme at the post graduate level from a reputed school which has a proven track record in its quality in computing and analytics area can surely help students embark on a fulfilling and rewarding career in this field.

NSHM Full Time MSc In Data Science & Analytics Is Tailored To Your Career Goals

Keeping in line with the growing demand for full-time data science programmes, NSHM Knowledge Campus, one of the leading  management and engineering colleges in Kolkata launched a full-time MSc in Data Science & Analytics that provides mathematical, statistical, and computational foundations and their applications in business problems so that students undergoing this course will become industry-ready.

The 2-year programme spread over 4 semesters covers the breadth of computation and programming, informatics, statistical analysis, modelling techniques, machine learning and deep learning and various aspects of artificial intelligence.

The programme is led by Prof. Jaydip Sen who has more than 25 years of experience in industry and academic and had prior stints at various reputed organizations like Innovation Labs of Tata Consultancy Services, Akamai Technologies and Oracle Corporation. Prof. Sen who heads the School of Computing and Analytics of NSHM, is a highly cited researcher in Google Scholar and he involved with research in both the theoretical and applied aspects of statistical modelling, Bayesian Networks, Predictive Model Design and Interpretation, Machine Learning and Cyber Security Analytics. According to Prof. Sen, “The two years’ post graduate programme in Data Science provides an ideal combination of the theoretical and applied aspects of Data Science so that the students can understand the principles of modeling while never losing the sight of the actual applications of such models. The course is further enriched by some of the unique offerings of NSHM such as Cyber Security Analytics, Risk Management in Financial Sectors, Applications of AI in Business Decision Making etc.”

Other full-time members of the faculty include Dr. Partha Saha who has extensive experience in the field of risk management, business analytics and data mining. Dr Mukta Mukherjee is a specialist in Econometrics, while Prof. Pratyay Ranjan Das and Prof. Asutosh Kar specialize in Statistics and Operations Research respectively.  

In the words of the Director, NSHM College of Management and Technology, Dr. Krishnendu Sarkar, “NSHM shall extend relevant training to scholars and professionals and also consulting to institutions and start-ups. In this regard, NSHM has associations with bodies like the Kolkata Chapter of Analytics Society of India, DCAL of  IIM-B”.

The intensive programme is delivered in a hands-on format that allows students to develop and apply their skills to real-world data and analytics problems. The programme is unique in its interdisciplinary approach to data science and analytics and goes beyond the foundational subjects such as statistics, mathematics, operations research, data mining, programming to develop core competencies in the areas of highest demand such as Machine Learning and Deep Learning.

Also, given the shift towards “unicorn roles” where Data Scientists are expected to possess a diverse skill set, the programme provides a deeper understanding of analytics tools and data-driven methods that are used to make students industry ready. It also features industry partners with a background in various domains who will help mentor the students.

What Can Students Expect Post The Completion of the Programme?

This full-time MSc program allows learners to develop interdisciplinary skills and gain a deep understanding of technical fundamentals and applied knowledge required for Data Science and Analytics. Graduates can go on to pursue careers in industry sectors and even pursue further research as Data Scientists, Data Architect, Data Analyst, Data Administrator and Analytics Manager among other roles. Also, NSHM’s strength in computer science and engineering will also stand in good stead and help students break into this lucrative field.

With NSHM’s MSc in Data Science & Analytics, students will be versed in skills such as Predictive Analysis, Business Intelligence, Data Mining which will allow them to break into data-driven industries such as finance, consulting, insurance, healthcare, marketing and retail. Some of the most in-demand skills students will walk away with after the completion of the programme are Python/R, Matlab, SQL, Spark/Hadoop, SAS and Tableau for BI. The comprehensive, hands-on degree programme is tailored to the students’ career goals and allows them to build expertise in analysing large datasets, developing modelling solutions, data analysis and machine learning fundamentals as well.  

The programme also includes services such as industry internships and data science workshops that will allow students to achieve their professional goals.

See Also

Hard Facts

Course Name: MSc Data Science & Analytics

Credentials: Degree will be awarded by MAKAUT (formerly WBUT)

Duration: 2 years

Mode: Full-time

Prerequisites:  CAT/MAT/XAT/GATE qualified candidates can apply

Click here to apply

 



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