Add-on Courses

The Department of Computer Applications offers various skill enhancing add-on courses to empower the students thereby supplementing the MCA curriculum to bridge the gap between industry and academia. These add-on programs are offered with the help of internal as well as external resources. Students who successfully complete these courses are issued with certificates.

List of Courses

(2025-2026)

1.Digital Image processing with OpenCV

  • Course Code: 24MCAAOC304
  • Resource Person: Internal
  • Beneficiaries: Third  Sem MCA Students
  • Instructional Strategies: Lectures, Tutorials, MCQs, Assignments/Activities.
  • Course Objectives:
  • Explain how digital images are formed, represented, and stored.

  • Understand key concepts such as pixels, color spaces, resolution, and bit depth.

  • Describe common image processing techniques and their real-world applications.

 

(2024-2025)

1.Add on course on Data Visualization using Power Bi

  • Course Code: 24MCAAOC303
  • Resource Person: Internal
  • Beneficiaries: Second  Sem MCA Students
  • Instructional Strategies: Lectures, Tutorials, MCQs, Assignments/Activities.
  • Course Objectives:
  • To understand the data visualization.
  • To develop visualization skills.
  • To give clear idea on implementing design with power BI

2. Add on Course on Object Oriented Modelling and Simulation

  • Course Code:24MCAAOC301
  • Resource Person: Internal
  • Beneficiaries: Third  Sem MCA Students
  • Instructional Strategies: Lectures, Tutorials, MCQs, Assignments/Activities.
  • Course Objectives: The Course is intended for third semester MCA students aiming to introduce the Object-Oriented Modelling and Design concepts. This course helps the students to familiarize the object-oriented data and systems. This also gives a clear idea of implementing design with UML diagram like state diagram, activity diagram, use case diagram etc.  which will be beneficial for the students while doing mini or main projects.

2. Basics of Accounting

  • Course Code: 24MCAAOC302
  • Resource Person: Internal
  • Beneficiaries: Third Sem MCA Students
  • Instructional Strategies: Lectures, Tutorials, MCQs, Assignments/Activities.
  • Course Objectives:
  • Explain the purpose and role of accounting in business.
  • Understand key accounting principles (e.g., accrual basis, consistency, going concern).

  • Define essential terms such as assets, liabilities, equity, revenue, and expenses.

 

(2023 – 2024)

1. Add-On Course on AWS Fundamentals

  • Course Code: 21MCAAOC401
  • Resource Person: Internal
  • Beneficiaries: Fourth Sem MCA Students
  • Instructional Strategies: Lectures, Tutorials, MCQs, Assignments/Activities.
  • Course Objectives: The Course is intended for final year students aiming to help them to build and  validate their skills so they can get more out of the cloud. This AWS Fundamentals Course is designed to teach the core concepts needed to work effectively within AWS.

2. Self-Paced Course on Academic Typesetting Using LaTeX

  • Course Code: 21MCAAOC301
  • Resource Person : External
  • Beneficiaries: Third Sem MCA Students
  • Instructional Strategies: Video Lectures, Tutorials, MCQs, Assignments/Activities.
  • Sample Video Link : https://youtu.be/c5dnMPrdits
  • Course Objectives: The Course is intended for final year students aiming to help them in preparing the main project report, mini project report and the seminar report using LaTeX. For preparing the presentations, the beamer package is also introduced through the course.

3. Add-On Course on Statistical Programming Using R

  • Course Code : 21MCAAOC201
  • Resource Person : Internal
  • Beneficiaries: Second Semester MCA Students
  • Instructional Strategies: Lectures, Assignments/Tutorials.
  • Course Objectives: The Course is intended for second semester MCA students aiming to introduce the R Programming language. R is an open-source programming language that is widely used as a statistical software and data analysis tool. R provides various facilities for carrying out machine learning operations like classification, regression and also provides features for developing artificial neural networks which will be beneficial for the students while doing mini or main projects.

4. Add-On Course on Data Mining Tools

  • Course Code : 21MCAAOC201
  • Resource Person : Internal
  • Beneficiaries: Second Semester MCA Students
  • Instructional Strategies: Lectures, Assignments/Tutorials.
  • Course Objectives: The Course is intended for second semester MCA students aiming to introduce the Data Mining concepts and commonly used tasks/algorithms. The implementation of concepts/algorithms using Weka, R Programming language have also been introduced which will be beneficial for the students to do mini/main projects in Data Mining.

5. Add-On Course on Review of C Programming

  • Course Code: 21MCAAOC101
  • Resource Person: Internal
  • Beneficiaries: First Semester MCA Students
  • Instructional Strategies: Lectures, Assignments/Tutorials.
  • Course Objectives: This is a basic course and the student is expected to review and understand the programming concepts which will in turn help them in learning other Computer Languages in the curriculum.

6. Add-On Course on Basics of Accounting

  • Course Code: 21MCAAOC102
  • Resource Person: Internal
  • Beneficiaries: First Semester MCA Students
  • Instructional Strategies: Lectures, Assignments/Tutorials.
  • Course Objectives: This course is intended to help the students to learn the basic concepts and functions of accounting and its role in the performance of an organization and to understand how to record the day-to-day operations of an organization in standard format. Learners shall have a broad view of terms like journal, ledgers and final book of accounts.

Program Outcomes & PSO

Programme Outcomes (PO)

PO1. Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2. Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3. Design/Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO4. Conduct Investigations of Complex Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5. Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6. The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7. Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9. Individual and Team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO11. Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12. Life-long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

 

Program Specific Outcomes (PSO)

The students of the  Computer Science and Engineering  Programme will have:

  • 1. The ability to implement, analyze and develop algorithms based on computational theory in the fields of networking, machine learning, data mining, pattern recognition, robotics and other important areas of computer science for productive and effective design of computer-based systems of diverse complexity.
  • 2. The ability to apply standard engineering practices, strategies and tactics for the development and management of software and hardware projects, using open source programming environments to deliver quality end products.

 

Vision, Mission

Vision

To become a centre of excellence in computer science, developing competent and socially responsible professionals with strong problem-solving skills, catering to the dynamic requirements of industry and society by promoting sustainable development and quality research.

 

Mission

M1 – (Teaching – Learning):
Inculcate a passion for academic excellence through innovative and industry-aligned teaching-learning practices that foster critical thinking and problem-solving.
M2 – (Research & Innovation):
Create opportunities for students to pursue research, innovation, and entrepreneurial initiatives that address real-world challenges with sustainable and impactful solutions.
M3 – (Values & Social Responsibility):
Nurture the students to be technically competent, morally upright and socially responsible computer science engineers to meet global challenges.

 

 

 

 

Scope Of Employment

  • Graduates can work in diverse domains including Artificial Intelligence, Data Science, Machine Learning, Cybersecurity, Cloud Computing, IoT, Web & Mobile Development, Software Engineering, UI/UX Design, and Big Data Analytics.
  • Career opportunities are available across IT companies, product-based firms, startups, e-commerce, fintech, healthcare, government sectors, and public sector undertakings (PSUs).
  • Job roles include Software Engineer, Data Scientist, AI/ML Engineer, Data Analyst, Cloud Engineer, Cybersecurity Analyst, Full Stack Developer, and UI/UX Designer.
  • Graduates can pursue higher studies (M.Tech, MBA, MS abroad), research (PhD, R&D), and teaching careers as Lecturers or Assistant Professors.
  • Strong opportunities exist in entrepreneurship, global careers, and placements in leading companies such as IBM, TCS Digital, Cognizant, Wipro, Infosys, UST Global, IBS Software, Amazon India, BYJU’S, Speridian Technologies, QBurst.

Introduction & Milestones

 

Introduction

The Department of Computer Science & Engineering was established in the year 2002. The annual intake of students for the B.Tech Computer Science & Engineering course is 120, B.Tech Computer Science and Design is 60, M.Tech (CSIS) is 12 and M.Tech (Artificial Intelligence and Data Science) is 12. Department is also recognized by APJ Abdul Kalam Technological University as a research centre for PhD programmes. The department has competent and committed faculty which encourages students’ involvement in various co-curricular activities along with their academics. Computer Science students consistently bagged top spots in the University Examinations. A large number of students from our department get placed every year in national and multinational companies. The department also takes initiative for the conduct of various inter/intra collegiate competitions to improve the skills of students. The students are also provided with the finest opportunities to join various professional societies like ACM, IEEE, CSI, etc. CSI student branch has consecutively won the best student branch award.

Department is active in the college NPTEL Local Chapter (rated with ‘A’ grade) through which students can join online courses offered by IIT’s. The department has been organizing programmes like ICE-FOSS (Free Software Conference) in association with FISAT Free Software Cell (FFSC) and International Conference on Advanced Computing & Communication Technologies. The department has also been continuously hosting Ministry of Education (formerly MHRD) funded workshops in association with IIT’s through National Mission in Education through ICT (NMEICT) programme.

The Department of Computer Science and Engineering is doing exceedingly well in the fields of higher education, research and consultancy. The department has an incubation centre and an industry institute partnership cell, which is started in collaboration with various IT companies. A student-led consultancy cell called FISAT Consultancy Services (FCS) has also been set up by the department. Department has a Memorandum of Understanding (MoU) with Oracle Academy, Red Hat and Additional Skill Acquisition Programme (ASAP), Government of Kerala for equipping students with industry-ready skills. The Department of Computer Science and Engineering, FISAT Incubation Centre envisions to provide a platform to the budding student entrepreneurs who have innovative ideas by offering mentoring support and facilitating interactions with industry. The Department has also shown its social commitment by conducting awareness programmes on technology related aspects for the public. 

CSE department has well-equipped computer laboratories with more than 800 computers and a High-Performance Computing Centre for research and project activities.  The department has the latest infrastructure facilities with high-speed Internet, advanced software labs, hardware labs, seminar halls and classrooms equipped with LCD projectors.

Admission (Management Quota)

Eligibility Criteria 

MCA (Two Year)

  • Passed any graduation degree (e.g.: B.E. / B.Tech./ B.Sc / B.Com. / B.A./ B. Voc./ BCA etc.,) preferably with Mathematics at 10+2 level or at Graduation level
  • Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination.
  • Must qualify entrance examination conducted by a competent authority as per the rules and regulations of KTU/AICTE/Govt.

Integrated MCA

  • Passed 10+2 (SSLC and Plus 2) Examination. Obtained at least 45% marks (40% in the case of candidates belonging to reserved categories) in the qualifying Examination.

Additionally, candidates who have not studied Mathematics at the higher secondary level will be required to complete a compulsory bridge course formulated by the University. Candidates awaiting results of the qualifying examinations are also eligible to apply for admission provided they shall produce the proof of qualification on or before the date of admission by the College

Mode of Selection

The selection process involves the following criteria:

  • Marks obtained in qualifying examination
  • Performance in the department Test/Interview.
  • Candidates securing the required cut-off marks will be shortlisted for counseling.

Final selection will be based on academic merit, considered during counseling. Admission confirmation will be subject to verification of documents.

Candidates will be admitted only if they possess the marks eligible for admission as per University and Govt. Norms for the qualifying examination and entrance examination.

How to Apply?

  • Candidates can submit applications ONLINE
  • Applications should be complete in all respects. A candidate will be considered for admission, only if he/she has furnished the relevant certificates prescribed in the Prospectus, in proof of eligibility.
  • During the online application process, the candidate is required to fill the form online using the link given above, pay the application fees of  Rs.350 (Net banking/Debit card/Credit card), update the marks when available, and upload the necessary documents.

Documents to be produced

  1. Mark List and Pass Certificate (wherever applicable) of Plus II / Equivalent in original.
  2. Two self-attested copies of the above Mark List and Pass Certificate.
  3. SSLC/ Secondary Examination certificate in original for proof of age; with two self-attested copies.
  4. Degree Certificate and Mark lists with two self-attested copies each.
  5. Physical fitness certificate from a Government Medical Practitioner.
  6. Transfer Certificate in original from the Institution last studied.
  7. Course and conduct certificate from the Head of the Institution last studied.
  8. Migration certificate in original, for students who have passed degree from universities out of Kerala.
  9. Eligibility certificate from KTU, for students who have passed degree from universities out of Kerala.
  10. Admit card of Entrance Examination in original (If available).
  11. Result sheet of the Entrance Examination in original (If available).
  12. Four passport size & three stamp size (color) photographs.
  13. True copy of Aadhaar card.
  14. A candidate who is employed or is a trainee in Govt. / Quasi Govt. /Banks etc. shall, at the time of interview, produce a relieving order and a certificate of good conduct from the head of the institution where the candidate was employed.

Fees can be paid either by swiping ATM/Debit card/ Scanning QR code/UPI or by transfer to FISAT Bank Account No: 17140100001036 at Federal Bank Hormis Nagar Branch (IFSC: FDRL0001714).

Admission Coordinators : 

  • Dr. Deepa Mary Mathews: 9446429980
  • Mr. Nithin Rajan: 9605406205
  • Dr. Sujesh P Lal: 9447477080

Email: mcaadmission@fisat.ac.inhodmca@fisat.ac.in

Click on the Admissions tab to apply for the same: https://fisat.ac.in/admission/

Class Advisors

 

FISAT Business School- Class advisor  for Batch 2024-26
A Batch Dr. Jose Varghese
B Batch Dr. Sreenish S R

 

FISAT Business School- Class advisor  for Batch 2023-25
A Batch Mr. Prasanth V
B Batch Ms. Merin Thomas

 

FISAT Business School- Class advisor  for Batch 2022-24
A Batch Ms. Amala Mary
B Batch Dr. Jose Varghese
FISAT Business School- Class advisor list for AY 2021-22
Degree Semester Division Class advisors
MBA S2 A Dr. Anoo Anna Antony
B Dr. Sindu George 
S4 A Mr. Prasanth P John
B Ms. Biji U Nair

Class advisors of previous semesters: 2020-21

Degree Batch Division
MBA S1 A Dr. Sindu George
B Dr. Delma Thaliyan
MBA S3 A Mr. Prasanth P John
B Ms. Biji U Nair

Scope of Employment

The Master of Computer Applications (MCA) is a popular postgraduate program in the IT stream that offers a blend of theoretical and practical knowledge. The demand for MCA graduates and IT professionals has been increasing, providing better career prospects in both government and private sectors. The institution, affiliated with Kerala Technological University (KTU), offers a two-year MCA course designed to meet the industry’s demand for trained IT professionals. To cater to students who wish to start early in this field, the institution also offers an Integrated MCA program, a five-year course that seamlessly combines undergraduate (BCA) and postgraduate (MCA) studies. The curriculum of the both the programme integrates classroom and practical training, ensuring students develop the technical expertise and problem-solving skills needed to excel in the IT world. With the rapid advancement of IT & Communication systems, professionals with strong computer application skills are highly sought after. The top recruiters of our students include TCS, UST Global, IBM, Cognizant, GadgEon, Speridian, 6D Technologies, Infosys, Virtusa, Federal Bank, and many others.

Upon successful completion of the Programmes, candidates can apply for the following profiles:

  • Software Developer
  • Data Scientist
  • Computer Programmer
  • Mobile App Developer
  • System Analyst
  • Cloud Architect
  • Data Analyst
  • Database Administrator
  • Web Designer/Developer
  • Senior Technical Consultant
  • Project Manager
  • Database Management in Banking Sector
  • Teaching

Vision, Mission

VISION

To nurture competent and socially responsible computer professionals through holistic education, fostering sustainable contributions to industry, research, and society.

MISSION

M1 To deliver quality education that fosters critical thinking, practical problem- solving, technical skills, and innovation through an industry aligned curriculum, hands-on learning, and research-oriented approaches.

M2 To empower students as adaptable technology professionals through continuous learning, engagement with emerging technologies, and significant contributions to the socio-technical landscape.

M3 To develop socially responsible technocrats through holistic education, ethical values, and sustainable innovation for societal and industrial progress.

 

PROGRAMME EDUCATIONAL OBJECTIVES (PEO)

PEO1 Graduates of this programme will be able to demonstrate professional excellence in academia and to develop software solutions for the IT related problems of the society and industry.

PEO2 Graduates of this programme will contribute significantly in technological advancement through research and computer applications and be committed to lifelong learning.

PEO3 Graduates of this programme will be successful team leaders and entrepreneurs with computational skill, value orientation and professional ethics.

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