The MS (Data Science) program is of 2-years duration offered in the evening. It requires 30 credit hours including 3 core courses, 2 specialized data science courses and a Thesis of 6 credit hours is mandatory.
The maximum time limit to complete the MS (Data Science) degree is 4 years.
The amount of data is growing so rapidly as well as its significance in the emerging societal setups such as the pervasive Internet of Things. The way one imagines data is going to change in the coming years. Both Big Data Analytics and pervasive computing hinge on the principle axis of data analytics. MS (Data Science) program is going to be relevant in terms of job creation and artisanal smart business generation. Graduates from this program would definitely avail the early-bird advantage.
The MS (Data Science) program has been designed to give students the option to be part of a data science endeavour that begins with the identification of business processes, determination of data provenance and ownership, understanding the ecosystem of the business decisions, skill sets and tools that shape the data, making data amenable to analytics, identifying sub-problems, recognizing the technology matrix required for problem resolution, creating incrementally-complex data-driven models and then maintaining them to ultimately leverage them for business growth. Individual objectives include:
|First Semester||Second Semester|
|DSC xxxx Statistical and Mathematical Methods for Data Science||DSC xxxx Machine Learning|
|DSC xxxx Tools and Techniques in Data Science||DSC xxxx Specialization-Elective-I|
|DSC xxxx Elective-I||DSC xxxx Specialization-Elective-II|
|Third Semester||Fourth Semester|
|DSC xxxx Thesis (Part-I)||DSC xxxx Elective-III|
|DSC xxxx Elective-II||DSC xxxx Thesis (Part-II)|
|Course types||Cumulative Credits|
|Core courses (3)||9|
|Specialization Requirement Courses (2)||6|
|Thesis (Part-I & Part-II)||6|
|Three Core Courses||Cr.Hrs|
|Statistical and Mathematical Methods for Data Science||3|
|Tools and Techniques in Data Science||2 + 1*|
|Big Data Analytics||3|
|Natural Language Processing||3|
|Distributed Data Processing||3|
-All courses may not be offered in every semester. Elective courses may vary from time to time.
-Alternative courses may be substituted as and when required.
-The MS Data Science Program is subjected to 20 students.
DSC xxxx Programming Fundamentals (Core Programming Course)
DSC xxxx Data Structures & Algorithms OR Design & Analysis of Algorithms
DSC xxxx Database Systems