Semester System is followed with the entire course covered in four semesters.
Every semester has theory subjects and practical and project work in 3rd and 4th semester.
Semester I (Credits 22) |
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Advanced Data Structures & Algorithms using Python |
Statistics for Computer Science |
Database Technology |
Object Oriented Programming Using JAVA |
Computer Networks |
Practical – Software Design Project |
Software Design Project |
Semester II (Credits 21) |
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Web Design and Development |
Data Warehousing and Data Mining |
Machine Learning |
Software Engineering |
Elective-1(Electives) |
Practical – Software Design Project |
Practical: Web Programming Lab |
Semester III (Credits 19) |
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Software Testing and Quality Assurance |
DevOps |
MOOC (Electives) |
Elective -2 (Electives) |
Elective -3 (Electives) |
Practical: Presentation Skills and Academic writing |
Project: Project Phase-I |
Semester IV (Credits 18) |
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Elective-4 (Electives) |
Personality Development |
Project: Project Work – Phase – II |
Elective I |
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Web analytics |
Big Data Analytics |
Elective II |
R Programming |
Big Data Analytics |
Elective III |
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Semantic Web |
Data Visualization Techniques and Tools |
Elective IV |
Data Classification Methods and Evaluation |
Principles of Deep Learning |
Total Credits for MCA Program – 80
Learners can earn additional Credits by taking courses offered by MOOC / Coursera