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Online MCA at St. Aloysius is a two-year postgraduate programme designed for graduates who want to build a career in the field of computer applications and technology. The programme offers four electives: Big Data Analytics, Artificial Intelligence and Machine Learning, Blockchain Technology, and Software Engineering.
The programme helps students develop their knowledge of programming, database management, software development and emerging technologies. Through their chosen elective, students can explore specialised areas such as data analytics, intelligent systems, blockchain applications and software engineering.
After completing the programme, students can explore career opportunities such as Software Developer, Data Analyst, Data Engineer, AI Engineer, Machine Learning Developer and Blockchain Developer.
Candidates applying for the Online MCA programme at St. Aloysius must meet the following requirements:
Applicants must hold a bachelor's degree in any discipline from a recognised university.
Both working professionals and recent graduates can apply.
Candidates can apply for the Online MCA programme at St. Aloysius by following these steps:
Step 1: Visit the Enrollment Form- Visit the official St. Aloysius Online website and open the online enrollment form.
Step 2: Register and Complete the Form- Sign up and complete the four required steps in the enrollment process for the programme.
Step 3: Pay the Fee - Pay the applicable fee using net banking, a debit card, or a credit card. An EMI option with 0% interest is also mentioned on the programme page.
The Online MCA syllabus at St. Aloysius, Mangalore, is divided into four semesters over two academic years. It includes practical lab sessions, elective papers and project work. Students study common subjects in the first two semesters, followed by advanced topics and their chosen elective in the third semester. The fourth semester focuses on project work.
Mathematical Foundation for Computer Applications
Advanced Data Structures and Algorithms
Advanced Database Management Systems
Enterprise Computing with Advanced Java
Web Application Development using Python
Advanced Data Structures and Algorithms Lab
ADBMS and Enterprise Computing with Advanced Java Lab
Web Application Development using Python Lab
Technical Writing and Presentation (Common Paper)
Web Technologies and .NET Framework
Object-Oriented Software Engineering
Mobile Application Development using Android
General Elective I
Discipline Specific Elective I
Web Technologies and .NET Framework Lab
Mobile Application Development using Android Lab
General Elective I Lab
Advanced Entrepreneurship
Research Methodology and Publication Ethics
Cloud Computing with Amazon Web Services
Web Development with Angular and Node.js
Artificial Intelligence and Machine Learning
General Elective II
Discipline Specific Elective II
Web Development with Angular and Node.js Lab
Artificial Intelligence and Machine Learning Lab
General Elective II Lab
Mini Project and Domain Knowledge Seminar
General Electives (choose from the listed options):
Data Communications and Computer Networks
Natural Language Processing
High Performance Computing
Operations Research
Probability and Stochastic Processes
Discipline-Specific Electives (choose from the listed streams):
Stream 1: Optimisation Techniques
Stream 2: Marketing Analytics
Stream 3: NoSQL with MongoDB
Stream 4: Software Testing
Project Work
Semester IV- Elective Courses
General Electives:
Internet of Things and Applications Development
Data Analytics with R/Python
Information Security
Wireless Sensor Networks
Bioinformatics Algorithms, Databases and Tools
Discipline-Specific Electives (choose from the listed streams):
Stream 1: Big Data Analytics
Stream 2: Neural Networks and Deep Learning
Stream 3: Blockchain Technology
Stream 4: User Interface Design
General Elective Labs:
Internet of Things and Applications Development Lab
Data Analytics with R/Python Lab
Information Security Lab
Wireless Sensor Networks Lab
Bioinformatics Algorithms, Databases and Tools Lab
The Online MCA at St. Aloysius follows a semester-wise examination system. The key details are as follows:
Each theory subject carries 100 marks, including 30 marks for internal assessment and 70 marks for the end-semester examination.
Practical examinations are conducted for lab subjects and may last 3, 4 or 6 hours, depending on the course.
Project work is evaluated as per the university's applicable regulations.
The Online MCA is a two-year postgraduate programme divided into four semesters.
Students can choose from four electives: Big Data Analytics, Artificial Intelligence and Machine Learning, Blockchain Technology, and Software Engineering
Yes. The programme includes practical lab sessions and project work to help students apply their technical knowledge.
Yes. The fourth semester includes project work, which allows students to apply the knowledge gained during the programme.
Graduates can explore roles such as Software Developer, Data Analyst, Data Engineer, AI Engineer, Machine Learning Developer and Blockchain Developer.
Yes. Eligible students receive placement support through training sessions, mock interviews, job opportunities and career counselling.