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:
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