Data Science


Why Data Science

M. Tech CSE Data Science & Analytics is a two-year post-graduate programme with an objective to impart knowledge on techniques and theories related to data science which includes statistics, data mining, data warehousing and data visualisation. The programme enables students to apply the knowledge of computing techniques and tools in the field of Big Data for solving real world problems encountered in various industries.
           This programme is useful for students who wish to develop and utilise their skills to achieve a thorough knowledge of data science and engineering. Some of these are the ability to aggregate interpret and manage a large amount of heterogeneous data resources independent of the hardware and software resources. The programme consists of the modules to be learnt as compulsory electives along with core subjects of computer science and engineering. Few of them include:

Why Study M.Tech in Data Science?

Analytics will play a vital role in data security. Analytics are now modifying differential privacy, intrusion detection, digital watermarking, and malware countermeasures. Companies are going to voice their requirement to routinely monetize their data for finance.

Students after completing M.Tech. in Data Analytics can job in any industry of their choice. The only prerequisite to pursue M.Tech in Data Analytics is to own a passion for learning some core concepts such as data structures, fundamental Mathematics, algorithms, etc. Accuracy and efficiency are the keys to have a stable analysis for any given assortment of data.

But one of the major challenges in the field is an increasing skill gap. Skill is a vital aspect as far as data science and analytics are concerned. The fundamentals of the present and the future lies more on analytics in any specialty.

Analytics will play a focal role in data security. Analytics are already transforming differential privacy, intrusion detection, digital watermarking, and malware countermeasures.

Scope of the Course:

They will enjoy better career prospects in Data Cloud, Insurance, Bank, IT Companies, Telecom, Insurance, IT Analyst, Software Programmer, Software Designer, Database Administrator, Technical Analyst, Network Administrator, and more.

MTech Data Analytics Syllabus:

Semester I

Semester II

 Data Science Programming

 Data Analytics and Graphs

 Data Mining and Warehousing

 Empirical Research

 Econometrics

 Advanced-Data Analytics

 Construction Economy and Finance

 Big Data

 Data Analytics Mathematics

 Open Elective II

 Open Elective I

 Project

 Laboratory

 Laboratory

Semester III

Semester IV

 Open Elective III

 Evaluation of project and Viva

 Project

 Seminar

 Open Elective IV

 Training and Internship

 Project


Eligibility:

  • The eligibility basis for M.Tech. in Data Analytics are as follow:
  • Individuals must have a degree in B.E. or B.Tech in subjects like IT, Physics, CS, Operations, Mathematics, Statistics, or Economics.
  • Students must have a minimum aggregate of 55%-60% marks and above from a recognized institution in the mentioned subjects.
  • Individuals with a degree of MCA or M.Sc. in either field of IT, Physics, Mathematics, Statistics, Computer Science, Integrated M.Sc/M.Tech in Mathematics & Computing, Integrated M.Sc in Statistics & Informatics, or equivalent examination with aggregate marks of 50% and above are also suitable for admission.
  • Few universities conduct counselling sessions or personal interviews for admission.
  • NOTE: 5% relaxation in minimum eligibility criteria is given to the candidate who belongs to SC/ ST/ OBC.