The 2-year online Master of Computer Applications (MCA) from Chandigarh University Online gives learners a comprehensive focus on system programming, database management, networking, web-designing and artificial intelligence. The broad objective of the best online MCA program in Punjab and North India, is to prepare the learners for IT industry with global competence in cutting-edge technologies like Cloud Computing, Android Applications, JAVA, Oracle, .NET, PHP, CISCO and many other which gradually propel them in their career growth.
A candidate shall have passed the qualifying examination of BCA/ B.Sc. (Computer Science)/ B.Sc. (IT) / B.E. (CSE)/ B.Tech.(CSE) / B.E. (IT) / B.Tech. (IT) or passed any graduation degree (e.g.: B.E/ B.Tech / B.Sc. / B.Com. / B.A/ B.Voc) with Mathematics, Business Mathematics, Programming or Statistics at 10+2 level or at Graduation level.
Learners can pay by year or semester. Easy financing
options available.
Subjects | Credits |
---|---|
Advanced Database Management System | 4 |
Advanced Computer Networks | 4 |
Web Programming | 4 |
Python Programming | 4 |
Network Security and Cryptography | 4 |
Subjects | Credits |
---|---|
Advanced Internet Programming | 4 |
Design and Analysis of Algorithms | 4 |
Software Testing | 4 |
Program Elective – I | 4 |
Program Elective – II | 4 |
Subjects | Credits |
---|---|
Introduction to Cloud Computing |
4 |
Introduction to Amazon Web Services |
4 |
Introduction to Microsoft Azure services |
4 |
Cloud Programming |
4 |
Cloud Virtualization |
4 |
Subjects | Credits |
---|---|
HTML, CSS and Javascript |
4 |
User Interface, Experience, Design |
4 |
DevOps -1 (GIT, Jenkins, Docker) |
4 |
Software Architecture |
4 |
Prototyping |
4 |
Subjects | Credits |
---|---|
Data Analytics Using Python |
4 |
SQL for Data Analytics |
4 |
Web Analytics |
4 |
Digital Media Analytics |
4 |
IOT and Data Analytics |
4 |
Subjects | Credits |
---|---|
Machine Learning in Python |
4 |
Statistics and Python in Machine Learning |
4 |
Business Application of Machine Learning |
4 |
Deep Learning and NLP |
4 |
Web, Social Analytics and Visualization |
4 |
Subjects | Credits |
---|---|
Subject as per Elective taken in Semester 3 |
4 |
Subject as per Elective taken in Semester 3 |
4 |
Major Project |
12 |
Subjects | Credits |
---|---|
Subject as per Elective taken in Semester 3 |
4 |
Subject as per Elective taken in Semester 3 |
4 |
Major Project |
12 |
Subjects | Credits |
---|---|
Subject as per Elective taken in Semester 3 |
4 |
Subject as per Elective taken in Semester 3 |
4 |
Major Project |
12 |
Subjects | Credits |
---|---|
Subject as per Elective taken in Semester 3 |
4 |
Subject as per Elective taken in Semester 3 |
4 |
Major Project |
12 |
Ms. Shalini Singh is a Senior Instructor at CU. She is pursuing her doctorate from the Department of Business Economics, University of Delhi. She holds an undergraduate and a postgraduate degree in Economics. Formerly, she was involved in teaching macroeconomics and econometrics at the Indian School of Business and Finance, an affiliate centre of University of London. She has 7+ years of experience in teaching macroeconomic concepts, research and policy making with various ministries. Her research interests include health economics, macroeconomic policies, and environmental economics. Her research papers have been published in various UGC-recognised journals and she has also contributed book chapters to two books that were published by Ane publishers. She has also presented her paper at various national and international seminars and has been recognised as the faculty with the highest subject score, 2018 (Macroeconomics) by University of London.
Ms. Shalini Singh is a Senior Instructor at CU. She is pursuing her doctorate from the Department of Business Economics, University of Delhi. She holds an undergraduate and a postgraduate degree in Economics. Formerly, she was involved in teaching macroeconomics and econometrics at the Indian School of Business and Finance, an affiliate centre of University of London. She has 7+ years of experience in teaching macroeconomic concepts, research and policy making with various ministries. Her research interests include health economics, macroeconomic policies, and environmental economics. Her research papers have been published in various UGC-recognised journals and she has also contributed book chapters to two books that were published by Ane publishers. She has also presented her paper at various national and international seminars and has been recognised as the faculty with the highest subject score, 2018 (Macroeconomics) by University of London.
Chandigarh University Online engages with the best talent from both academia and industry to provide its MBA students with world-class learning experiences and future-ready learning outcomes.
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