Data Science
Institute of Engineering and Technology
Objective
M.Tech. in Data Science at JKLU prepares experts in the field who are able to:
- Identify, extract, and pull together available and pertinent heterogeneous data and use appropriate computational principles, platforms, and techniques to discover new relations and deliver insights into research problems or organisational processes and support decision-making.
- Conceive, design, implement, and manage data analytics, data management and information systems, services, and processes by using principles of computer science, data management, machine learning, computational statistics, software engineering, state-of the-art platforms, components and tools.
- Serve in the areas of data analytics, data science, or business analytics in business, consultancy, industry, government, healthcare, education, research, etc.
Key Highlights
- Interdisciplinary programmes
- 100% placement assistance
- Highly accomplished faculty
- Industrial internship and projects
- Flexibility to choose MOOC courses
- Work opportunity while learning
- Early exit option with Certificate/ Diploma
Career Prospects
Today, Data science professional are needed in virtually every sector. The top five tech. companies namely Google, Amazon, Apple, Microsoft, and Facebook are the biggest recruiters in this field. Some of the leading data science careers include jobs for Data Scientist, Machine Learning Engineer, Machine Learning Scientist, Applications Architect, Enterprise Architect, Data Architect, Data Engineer, Business Intelligence (BI) Developer, Statistician, and Data Analyst.
Curriculum
Semester 1
- Statistical Data Analysis-I
- Cloud based Big Data System-I
- Machine Learning and Data Mining
- Elective-I
- Project-I/ Research Methodology –I
- CCCT/ Liberal Arts/ Pedagogy
Semester 2
- Statistical Data Analysis-II
- Cloud based Big Data System-II
- Applied Advanced Machine Learning
- Elective-II
- Project-II/ Research Methodology-II
- CCCT/ Liberal Arts/ Pedagogy
Semester 3
- Internship (6- 8 weeks),
- Elective-III,
- Elective – IV
- Dissertation-I / Industrial Project –I / Entrepreneurial Project-I