ONLINE MCA
Eligibility:
Bachelor of Computer Applications (BCA)
OR
Bachelor’s degree in computer science / Engineering
OR
Bachelor’s degree in science / Commerce / Arts with Mathematics at 10+2 level*
*Students without Mathematics at 10+2 or graduation, can also apply after qualifying the Bridge course.
Key Features:
| Academic: | Student Services: |
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Given its broad horizon, this uniquely designed degree program will benefit professionals as well as entry-level aspirants to gain in-depth knowledge, cross-functional competency, and expertise in a forward integrating economy- with a special focus on emerging technologies-Machine Learning (ML) & Artificial Intelligence (AI). Programming Languages & Development Tools covered: Matpotlib, Keras, Scikit, Tableau, Spacy, GCP. Along with Amity created content gain access to world class content created by UC Berkeley. Hands-on exercises in Python and other Data tools, Work on real-life datasets. Practical business cases explored with Capstone Analytics Project. Online coursework with case studies, mini-projects and assignments. Total flexibility with Web Proctored Mode: freedom to take exams anywhere, as well as the choice to take Semester Breaks. Easy-to-use Learning Management System (LMS) accessible anytime, anywhere. Exclusive doubt clearing session per program every Semester. Study material available in downloadable pdf format as e-copy. 70+ Free Certificate Programs from Amity Open Learning System – Basic Communication, Time Management, Negotiation. Open-source resources and web-links also made available like Swayam videos, NPTEL videos for additional learning. Learning Outcomes: Spearhead Machine Learning models and uncover hidden insights to problems that were once thought impossible. Become a leader in the booming market of ML & AI by learning about its breakthroughs achieved and future that it holds. Gain solid awareness of the key concepts of AI, ML, Deep Learning, Data Mining & Data Science Make strategically important decisions in your professional domain with ML techniques, models and various algorithms. Leverage your innovative ability to develop intelligent ML & AI-based solutions using the required platforms and languages. |
Post enrolment services through a dedicated Student Relationship Manager. Totally Online Admission Process including uploading of eligibility documents. Multiple fee payment options, including no-cost EMI from Fee Financing companies. Dedicated Career Support & Virtual Job Fairs With 100+ Hiring Partners. |
Curriculum:
| SEMESTER 1 | Professional communication Core Java Advanced Database Management Systems Advanced Software Engineering Principles Graph Theory and Combinatorics |
| SEMESTER 2 | Research Methodology Data Structures and Algorithm Design Cognitive Analytics and Social Skills for Professional Network Security and Cryptography |
| SEMESTER 3 | Unix /Linux Programming Seminar (Evaluation) Cloud Infrastructure and Services Quantitative Aptitude Professional Ethics Machine Learning and Artificial Intelligence |
| SEMESTER 4 | Major Project |
Fee Details:
Full Fee: Rs. 250000.00
Fee per year: Rs. 125000.00
Fee per semester: Rs. 62500.00
Disclaimer:
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