Hindustan University, Chennai

Master of Technology (MTech Data Science and Engineering)

Mode of Learning:

Full Time

Course Level:

Masters Degree

Course Duration:

2 Years
 
 

Eligibility:

BE / B. Tech. / AMIE / MCA / M. Sc. (CS / IT / Physics / Maths / Stats) (min 60%) & 10+2 (min 60%).

Course Description:

Hindustan University, Chennai is offering Master of Technology (MTech Data Science and Engineering). In this section, learn about the Master of Technology (MTech Data Science and Engineering) course at Hindustan University, Chennai

The major goal of this course is to impart knowledge on techniques and theories related to data science which includes statistics, data mining, data warehousing and data visualization. The main goal of data science and engineering is to make the data management easier for others so that finding and coalescing the data can be done with greater ease.

Salient Features :

This course will be useful to students to develop and deploy their skills to achieve a thorough knowledge in data science and engineering. Some of these are the ability to aggregate, interpret and manage large amount of heterogeneous data resources independent of the hardware and software resources. This course consists of the following modules to be learnt as compulsory electives along with core subjects of computer science and engineering.

=> Data Mining & Warehousing.
=> Machine Learning.
=> Data Analytics & Visualisation.
=> Hadoop Administration.
=> Geospatial information management.

Scope :

There is a big demand for analytics, data mining and data science professionals in near future. This course will enable the students to develop their skill sets and competencies of data scientists as they play main role in competitive intelligence which is a newly emerging field that encompasses data mining and analysis. This programme offers students an in-depth education experience to focus on data science as it pertains to their unique interests. As part of this course the students can do industry interaction and take up research activities in the data science field.

 
 

Note: The above courses are picked automatically by the website for indicative purpose only. However, students are requested to check with the University for the similarity of the course or for any other information in regard to the course.

Syllabus presented on this page is indicative and for general information only. The syllabus / course information listed may not be exhuastive. Students / Visitors are advised to contact the University directly for the official, detailed and accurate Syllabus, Transcripts and other information. List of course names mentioned here is partial and are not comprehensive and the institution would be offering many other courses than those mentioned on this page.

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