M.Tech in Data Science is a postgraduate program that prepares students with advanced study in applications of data science, machine learning and analytics. In this course, students develop their mastery in designing and developing various tools and technologies. This programs developed skills like programming language, data analysis, communication and many more. Students can explore research projects and industry training for real time experience.

Students in Masters of Technology in Data Science focus on:

• Data Mining
• Machine Learning
• Transfer Learning
• Data Science with Python/R/SQL
• Big Data Analytics
• Data Science Fundamentals
• Data visualization
• Computer Vision
• Natural Language  Processing
• Data Architecture
• Cloud Computing 
• Data warehousing and Business Intelligence
• Data Storage Solutions (NoSQL, Hadoop)
• Probability and Statistics
• Optimization Techniques

In this program, students learn many fundamentals and techniques of data science.

Eligibility Criteria:

As per our university guidelines, students must have passed out their graduation in Bachelor of technology (B.TECH) in Computer Science, Informational Technology, Computer Engineering, Mechanical Engineering and Electrical & Electronics Engineering.

The qualifying scores are required at least 60% or 6.5 CGPA (out of 10) for general category and 55% or 6.0 CGPA (out of 10) for reserved category for applying in Masters of Technology Data Science.

Careers (job profile and salaries)

See below some job profiles with average salaries as per your interest.

• Data Scientist

Job profile: It gather data from various sources and draw meaningful conclusions from data analysis.

Salary for this job profile: ₹12-₹35 lakhs per annum (Average salary)

• Data Engineer

Job profile: A Data Engineer is responsible for maintaining the architecture of an organization’s data and work with various data technologies such as NoSQL database and cloud storage.

Salary for this job profile: ₹10-₹25 lakhs per annum (Average salary)

• Business Analyst

Job profile: It analyzes data to identify documents, trends, patterns and translate technical information into business language for stakeholders.

Salary for this job profile: ₹8-₹20 lakhs per annum (Average salary)

• Machine Learning Engineer

Job profile: The Role of Machine Learning Engineer designs develop & deploy machine learning models and optimize model performance.

Salary for this job profile: ₹15-₹40 lakhs per annum (Average salary)

• AI/ML Researcher

Job profile: An AI/ML Researcher design AI/ML algorithms, evaluate AI/ML models, and present research at conferences, workshops and seminars.

Salary for this job profile: ₹12-₹30 lakhs per annum (Average salary)

• Data Analyst

Job profile: A Data Analyst collect data from various sources and apply statistical and analytical techniques. It also provide recommendations to stakeholders. 

Salary for this job profile: ₹6-₹15 lakhs per annum (Average salary)

• Business Intelligence Developer

Job profile:  A Business Intelligent Developer develops BI reports, data models, data retrieval, BI application, BI tools and optimizes query performance.

Salary for this job profile: ₹8-₹20 lakhs per annum (Average salary)

• Data Science Manager

Job profile: The responsibility of Data Science Manager is team management, project planning and stakeholder communication.

Salary for this job profile: ₹25-₹50 lakhs per annum (Average salary)

• Data Architect

Job profile: The role of Data Architect is to design data architectures and strategies. It also develop data models, data warehouse and data lakes.

Salary for this job profile: ₹15-₹30 lakhs per annum (Average salary)

• Data Quality Engineer

Job profile: A Data Quality Engineer is responsible for monitoring data for errors and conducting data audits & quality assessments.  It also develops data quality checks and data cleansing.

Salary for this job profile: ₹8-₹20 lakhs per annum (Average salary)

• Director of Data Science

Job profile: It leads the data science team, data science function and manage budgets. It also maintains partnerships with industry and collaborates with stakeholders.

Salary for this job profile: ₹50-₹90 lakhs per annum (Average salary)

After Masters of Technology in Data Science:

1. Ph.D. in different fields

1. Ph.D. in Data Science
2. Ph.D. in Statistics
3. Ph.D. in Computer Science
4. Ph.D. in Artificial Intelligence
5. Ph.D. in Machine Learning
6. Data Science for Healthcare (Interdisciplinary Ph.D.)
7. Data Science for Finance (Interdisciplinary Ph.D.)
8. Data science for Environmental Science (Interdisciplinary Ph.D.)
9. Data Science for Social Science (Interdisciplinary Ph.D.)
10. Human-Computer Interaction (Interdisciplinary Ph.D.)

1. Postdoctoral Research in data science-related areas
2. Certification Courses

1. Certified Data Scientist
2. Certified Analytics Professional
3. Google Data Analytics Certification
4. Microsoft Data Science Certification
5. NVIDIA Deep Learning Certification

Top Hiring companies

• Microsoft
• Amazon
• Google
• VMware
• EY
• Splunk
• Databricks
• Teredata
• Cloudera
• IBM
• Chase
• Oracle
• Tiger Analytics, LLC
• Latent View
• Meta
• Airbnb
• Walmart
• Mu Sigma
• PricewaterhouseCoopers LLP

FAQs:

Q: what are the eligibility criteria for Masters of Technology in Data Science?

       A: Students must have passed out their graduation in Bachelor of technology (B.TECH) in computer science, Informational Technology, Machine Learning, Computer Engineering and Electrics & Electronics Engineering.

Q: What are the job profiles in Masters of Technology in Data Science Course?

• Data Scientist
• Data Engineer
• Business Analyst
• Machine Learning Engineer
• AI/ML Researcher
• Data Analyst
• Business Intelligence Developer
• Data Science Manager
• Data Architect
• Data Quality Engineer
• Director of Data Science

Q:  Are there any scopes for higher studies after completing Masters of Technology in Data Science?

A:  Yes, students can pursue their higher studies in Ph.D., Postdoctoral research and certification courses in different fields.