Sacred Heart College, Thevara

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Computer Science

Programme Courses

BSc Computer Applications Honours

Application Method:

Online

Part-time Availability:

No

Eligibility:

Higher secondary education in Science Stream

Self financing or Aided:

Self financing

Phone:

04842870556

Email:

ca@shcollege.ac.in

Years
4

Course
17

BCA Honours (Mobile Applications & Cloud Technology)

Application Method:

Online

Part-time Availability:

No

Eligibility:

Higher secondary (Science Stream)

Self financing or Aided:

Self financing

Phone:

04842870556

Email:

ca@shcollege.ac.in

Years
3

Course
15

M.Sc. Computer Science (Artificial Intelligence)

Application Method:

Online

Part-time Availability:

No

Eligibility:

Self financing or Aided:

Self financing

Phone:

Email:

Years
2

Course

Integrated M.Sc Computer Science (Data Science) (5 year)

Application Method:

Online

Part-time Availability:

No

Eligibility:

Higher Secondary Education in Science Stream

Self financing or Aided:

Aided

Phone:

04842870556

Email:

ca@shcollege.ac.in

Years
5

Course

Programme Outcomes

PO1

Critical Thinking

PO2

Effective Communication

PO3

Effective Citizenship

PO4

Environment and Sustainability

PO5

Ethics

PO6

Global Perspective

PO1

The students are capable of exercising their critical thinking in creating new knowledge leading to innovation, entrepreneurship and employability.

PO2

The students are able to effectively communicate the knowledge of their study and research in their respective disciplines to their employers and to the society at large.

PO3

The students are able to make choices based on the values upheld by the college, and have the readiness and know-how to preserve environment and work towards sustainable growth and development.

PO4

The students possess an ethical view of life, and have a broader (global) perspective transcending the provincial outlook.

PO5

The students possess a passion for exploring new knowledge independently for the development of the nation and the world and are able to engage in a lifelong learning process.

The Bachelor of Science in Computer Applications (BSc CA) is a four -year undergraduate program that focuses on providing students with a strong foundation in computer science and its applications. The program is designed to equip students with the skills and knowledge, both academic knowledge and practical skills required to succeed in the rapidly evolving field of computer science. The program spans eight semesters, covering a wide range of topics from fundamental programming to advanced technologies like Artificial Intelligence and Big Data Analytics.

Key Features

Industry relevant curriculum covering computer programming, data analytics, artificial intelligence, Blockchain Technologies, Generative AI , IOT and Cyber security
Hands-on experience with industry-standard tools and technologies.
Emphasis on problem-solving, critical thinking, and communication skills.
Opportunities for internships, projects, and research collaborations.
Strong focus on soft skills and personality development

Teaching Methodology

Lectures
Tutorials
Practical sessions
Projects
Seminars
Workshops
Guest lectures

Career Prospects

Graduates of the BSc CA program can pursue careers in:

Software development and engineering
Data science and analytics
Artificial intelligence and machine learning
Cybersecurity and networking
IT consulting and management
Web and mobile app development
Database administration
Network administration
Business Analytics
Quality Assurance and Testing
Research and development

Further Studies

The program also provides a strong foundation for pursuing advanced degrees such as:

Master of Computer Applications (MCA)
Master of Science (MS) in Computer Science or related fields
MBA in Information Technology

Program Structure

The program consists of eight semesters, with a total of 177 credits. The course structure includes:

Discipline Specific Courses
Discipline Specific Electives
Multidisciplinary Courses
Skill Enhancement Courses
Value Addition Courses
Projects and internships

Course List

Discipline Specific Courses (DSC):

Semester I: Programming in C
Semester II: OOPS with C++
Semester III: Data Structures using C++, DBMS, Digital Electronics
Semester IV: Programming in Java, Advanced Web Technologies, Operating System
Semester V: Python for Data Science, Computer Networks, Software Engineering
Semester VI: Machine Learning, Software Development, Data Mining
Semester VII: Research Methodology, Software Testing Methodologies, Design and Analysis of Algorithms, Artificial Intelligence, Internet of Things, Big Data Analytics
Semester VIII: Research and Publication Ethics, Deep Learning

Discipline Specific Elective Courses (DSE):

Semesters V/VI: Microprocessors and Assembly Language Programming using 8086, System Software, Introduction to Cloud Technology, R Programming, Basic Android, Network Security, Theory of Automata, Computer Graphics, Image Processing
Semester VIII: Natural Language Processing, Blockchain Technologies, Generative AI

Discipline Specific Courses (DSC) - Minor Pathway:

Semesters I/II: Desktop Engineering, Introduction to Analytics with Excel, Information Technologies, Fundamentals of Business Analytics with Python, Foundations of Digital Literacy
Semesters III/IV: Problem Solving Techniques, Business Intelligence and Data Visualization using Power BI, Internet and Web Technologies

Multidisciplinary Courses (MDC):

Semester I: Computer Hardware and Assembling, Cyber Laws and Online Safety
Semester II: Basic IT Tools
Semester III: Web Designing

Skill Enhancement Courses (SEC):

Semester IV: Advanced Excel
Semester V: AI Tools
Semester VI: Technical Writing using LATEX

Value Addition Courses (VAC):

Semester III: IT, Environment, and Holistic Living, White Hat Hacking
Semester IV: Green Computing, Information and Cyber Ethics
Semester VI: Cyber Forensics and Data Security, Cyber Security and Ethical Hacking, Health and Wellness

The BCA (Mobile Application and Cloud Technology) programme at Sacred Heart College (Autonomous), Thevara, Kochi, is a four-year undergraduate degree program approved by AICTE. It is designed to provide students with a strong foundation in computer applications, while specializing in mobile app development and cloud computing. This industry-focused programme blends theoretical knowledge with practical expertise, equipping students with the skills required to excel in the rapidly evolving IT landscape. With a curriculum that covers mobile application development, cloud technology, and core computing concepts, students will gain hands-on experience in building scalable applications, managing cloud infrastructure, and leveraging emerging technologies. This programme prepares graduates for dynamic career opportunities in software development, cloud computing, and IT services, making them industry-ready professionals in the digital era.

Programme Specific Outcome

PSO1: Apply the theoretical foundations of computer science in modelling and developing solutions to the complex and real world problems.
PSO2: Comprehend, explore and build up computer programs, applications in the allied areas like Algorithms, Multimedia, Web Design and android applications for efficient design of computer-based systems that meet the needs of industry and society.
PSO3: Develop skills in android and cloud technology development so as to enable the graduates to take up employment/self-employment in global technical market.
PSO4: Apply knowledge of layered network models, protocols, technologies, topologies and security policies for building network and internet based applications.

Higher Education

MSc Computer Science
MCA, MSc Mathematics
MSc Statistics
MSc Data Science
MSc Machine Intelligence
MSc Cyber Security
MSc Data Analytics
MSc Geospatial Analytics

Career Opportunities

Software Engineer
System Engineer
Software tester
Junior programmer
Web developer
App developer
Cloud developer

Key features

A comprehensive curriculum that integrates mobile app development, cloud computing, artificial intelligence (AI), machine learning (ML), and generative AI, ensuring students stay updated with cutting-edge technologies.
Extensive hands-on training with industry-leading tools and platforms, enabling students to develop and deploy mobile and cloud-based solutions effectively.
A strong emphasis on analytical thinking, problem-solving abilities, and coding proficiency, fostering innovation and adaptability in the tech-driven world.
Internship opportunities, industry projects, and collaborative research to bridge the gap between academic learning and real-world applications.
Development of professional skills, including communication, teamwork, and leadership, to enhance career readiness and employability.
In-depth learning of cloud infrastructure, mobile security, and scalable application design, preparing students for high-demand roles in the IT sector.
Capstone projects and domain-specific research that focus on emerging areas like AI-powered mobile applications and cloud-integrated intelligent systems.

Career Prospects

Graduates of the BCA program can pursue careers in:

Small, Medium and Large Professional Services IT Companies
Enterprise Application Product and Service Companies
Mobile Application Product and Service Companies
VAS providers
e-Commerce, m-Commerce companies
Internet companies
UI Engineer
Software Engineer / Developer
Mobile Application Developer
Cloud support engineer
Cloud administrator
Cloud Architect
Cloud Engineer
Cloud security Specialist
Remote Desktop Engineer

Further Studies:

MSc Computer Science
MCA
MSc Data Science
MSc Machine Intelligence
MSc Cyber Security
MSc Data Analytics
MSc Geospatial Analytics

Course List

The program consists of eight semesters, with a total of 177 credits. The course structure includes: Discipline Core Courses (DCC):

Semester I: Digital Electronics & Computer Organization, Foundation of Mathematics
Semester II: OOPS with C++, Statistical Methods for Computational Analysis
Semester III: DBMS, Data Structures using C++, Advanced Web Technologies
Semester IV: Mobile Application Development, Software Engineering, Operating System
Semester V: Computer Networks, Digital Image Processing, DevOps, Mobile Testing Tools
Semester VI: Theory of Automata
Semester VII: Principles of Virtualization, Artificial Intelligence / Deep Learning, Cloud Computing for Data Science, Research Methodology, Research and Publication Ethics
Semester VIII: (None explicitly listed as DCC in VIII, but Professional Electives are present)

Discipline Specific Elective Courses (DSE):

Semester IV: Introduction to Cloud Technology
Semester V: Advanced Mobile Application Development
Semester VI: Full Stack Development, Cloud Infrastructure and Management Mechanisms
Semester VII: Mobile Application Development with Machine Learning
Semester VIII: Large Language Models, Generative AI

Skill Enhancement Courses (SEC):

Semester I: Programming in C
Semester II: Linux Operating System
Semester III: Programming in Java
Semester IV: Technical Writing using LATEX, Internship I
Semester V: AI Tools, Mini Project [Evaluation in Sixth semester]
Semester VI: Mini Project, Machine Learning
Semester VII: Internship II, Major Project-I, Research Internship II, Dissertation*[Evaluation in Semester VIII]
Semester VIII: Major Project-II, Dissertation

Ability Enhancement Courses (AEC):

Semester I: English, Other Languages
Semester II: Other Languages, English

Multi Disciplinary Elective Courses (MDE):

Semester I: Computer Hardware Assembling
Semester II: Web Designing
Semester III: Numerical Methods and Linear Programming Problem

Value Added Courses (VAC):

Semester II: IT, Environment and Holistic Living
Semester III: Green Computing
Semester IV: Health and Wellness
Semester VI: Cyber Security and Ethical Hacking

The MSc Computer Science (Artificial Intelligence) programme at Sacred Heart College (Autonomous), Thevara, Kochi, is designed to equip students with advanced knowledge in artificial intelligence (AI), machine learning, and data science. The programme integrates theoretical foundations with hands-on experience in AI technologies, preparing students for careers in research, development, and industry applications.
Artificial Intelligence is revolutionizing industries, enabling automation, and enhancing decision making capabilities. This programme covers core concepts of AI, including machine learning, deep learning, natural language processing and data analytics. Students will gain expertise in designing intelligent systems that can analyze, predict, and solve real-world problems.

Programme Structure

The MSc AI programme is structured over four semesters with a strong emphasis on practical and project-based learning. It includes core courses, electives, laboratory sessions, a mini-project, an internship, and a final-year dissertation.

Courses List

Semester I

Computer Organisation and Operating Systems
Object-Oriented Programming with Java
Data Structures and Algorithms
Mathematics for Computational Intelligence
Foundations of Data Analytics
OOPS with Java Lab
Data Structures Lab with C++

Semester II

Programming in Python
AI and Knowledge Representation
Database Design
Machine Learning
Elective 1 (Digital Image Processing, Theory of Computation, Algorithm Analysis, or Graph Theory)
Machine Learning Lab
DBMS Lab and Micro Project

Semester III

Computer Networks
Data Mining and Analytics
Elective 2 (Natural Language Processing, Big Data Analytics, or Computational Modelling)
Elective 3 (Soft Computing, Pattern Recognition, or Object-Oriented Analysis & Design)
Data Analytics Lab Using R
Mini Project/Seminar

Semester IV

Project/Internship
Comprehensive Viva

Scope of Employment

Graduates of the MSc AI programme have excellent career prospects in both industry and academia. With the growing demand for AI professionals across multiple sectors, students can explore opportunities in:

Software Industry: AI Engineer, Machine Learning Engineer, Data Scientist, AI Research Scientist, Software Developer
Finance & Banking: AI-driven risk assessment, fraud detection, predictive analytics
Healthcare: Medical image analysis, AI-powered diagnostics, healthcare automation Retail & E-commerce: Recommendation systems, demand forecasting, customer sentiment analysis
Robotics & Automation: Intelligent robots, autonomous vehicles, industrial automation
Academia & Research: PhD opportunities, AI research positions in top institutes
Government & Defense: Cybersecurity, surveillance, AI policy development

Eligibility

Candidates with a Bachelor’s degree in Computer Science, Mathematics, or Statistics (or related fields) with a minimum of 50% marks from a recognized university are eligible to apply.

Key Learning Outcomes

By the end of this programme, students will be able to:

Develop AI models and deploy machine learning algorithms for real-world applications.
Apply data analytics techniques for predictive analysis and business intelligence.
Design and implement AI-driven solutions in domains like NLP and computer vision.
Understand ethical and social implications of AI technologies.
Work efficiently in AI-driven research and development environments.

Internship & Project

The final semester includes an internship or project, allowing students to work on real-world AI applications in collaboration with industry leaders, research institutions, or startups.