Data Analytics
Data Analytics
MCA in Data Analytics
Master of Computer Application (MCA) 112 Credits
Liberal Arts and Sciences: 7 Courses x 4.5 Credits = 31.5 Credits
- ENG201 The Art of Conversation II
- COM301 Business Communication
- MGT201 Business Fundamentals
- MGT203 Design Thinking
- MTH201 Business Mathematics
- PHL201 Indian Ethos and Mindful Leadership
- PSY202 The Science of Happiness
Core Requirement: Choose any 8 Courses x 4.5 Credits = 36 Credits
- AIM301 Introduction to Artificial Intelligence & Machine Learning
- CST506 Automata Theory
- CST507 Advanced Operating Systems
- PRG505 Advanced Software Engineering
- PRG506 Computer Graphics
- MTH501 Advanced Discrete Mathematics
- PRG501 Design and Analysis of Algorithms
- PRG502 Object Oriented Analysis with Python
- CST501 Advanced Network Security
- CST502 Wireless Computing
- CST508 Advanced Database Management Systems
- RES201 Research Methods
- QNT201 Quantitative Methods for Decision Making
Open Electives Interdisciplinary: 02 Courses x 4.5 Credits= 9 Credits
- Open Electives I
- Open Electives II
Data Analytics Specialization – Choose any 04 Courses x 4.5 Credits= 18 Credits
- DAL301 Introduction to Data Analytics
- DAL302 Predictive Analytics
- DAL303 Descriptive Analytics
- DAL304 Big Data Analytics
- DAL601 Statistics for Data Science
- DAL602 Optimization for Machine Learning
- DAL603 Deep Learning
- DAL604 Communicating Data and Analysis
Internship (Co-op) – 10.5 Credits
- APT700 Applied Thesis
- INT600 Internship/Co-Op
Professional Core Courses = 3 Certification x 2 Credits ; 02 Certifications x 0.5 credits = 07 Credits
- PCC101 Skills for Lifelong Learning
- PCC103 Harvard Certification - Ethics at Work
- PCC104 Positive Intelligence
- PCT100 Advanced Excel/Word Training
- PCT104 3000 Line of Codes
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See more of the courses we offer by reviewing the full list of course offerings as a PDF.