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Master of Technology Data Science - Overview

 

M. Tech in Data Science is a two year, four semester post-graduate programme with an objective to impart the knowledge on methodologies, techniques and concepts related to data science which includes mathematics, statistics, data warehousing, data mining, machine learning and visualization techniques. The main objective of this program is to provide one of the best post graduate education to students so that they can meet the growing regional, national and international need for highly qualified personnel in the fields of data science, natural language processing and artificial intelligence. The curriculum is framed by experienced academic and industrial expertise, by considering current as well as future demands of enterprises.  

By looking at the multidisciplinary nature of data science, the curriculum offers many interdisciplinary subjects and also encourages students to do their dissertation in a multidisciplinary environment.  The programme enables students to apply the knowledge of data science and computer science in the field of natural language processing, Big data as well as many emerging technologies for solving the real world problems encountered during day-to-day life. Students will get a good exposure to interpret, manage as well as evaluate the large amount of heterogeneous data in the real time environment. In addition to this the department offers dedicated labs and a research centre where students are encouraged to do their research under the supervision of a dedicated supervisor. 

Why choose this Course?

Dedicated laboratories for research  in Data visualisation & Data Analytics
Industry 4.0 Curriculum to match with recent frameworks.
Unique global exposure through vibrant student exchange programmes.
Opportunity to complete the final year of PG in Fasttrack mode.
Qualified pool of faculty with 85% of them possessing PhD
Industry Tie-ups for placements, projects, and internships

What you will learn?

Apply deep working knowledge of fundamentals of mathematics, science, and Data Science techniques for Problem solving.
Learn about data manipulation, statistical analysis, and data visualization techniques using tools such as IBM’s SPSS and Tableau.
Gain skills in web technologies, such as HTML, CSS, JavaScript, and server-side scripting. This includes building dynamic web applications.
Practical experience in solving real-world problems using data science and engineering techniques. 
Students will learn the art of writing a good research article through a professional practice course.
Students will acquire skills related to managing data science projects, working in teams and design solutions with professional competency for the real world problems.

Course Modules

Career Prospectus

Data Science researchers work in academia or research institutions, advancing data science technologies and applications.
Data visualization approaches and interdisciplinary work leading to the start-up / entrepreneurship of a business.
A Data Science industry or profession is accompanied by immense salary ranges and earning potential.
To get insightful information and support decision-making within companies, data scientists gather, purify, and evaluate data. Statistical and machine learning methods are frequently employed by them. Machine learning and artificial intelligence models encompass a range of data-driven tasks, including computer vision, natural language processing, image recognition, predictive modeling, and decision-making.
CHRIST
(Deemed to be University)

Dharmaram College Post, Hosur Road, Bengaluru - 560029, Karnataka, India

Tel: +91 804012 9100 / 9600

Fax: 40129000

Email: mail@christuniversity.in

Web: https://www.christuniversity.in

Vision

EXCELLENCE AND SERVICE

Mission

CHRIST (Deemed to be University) is a nurturing ground for an individual's holistic development to make effective contribution to the society in a dynamic environment.

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