To satisfy the growing needs of domestic market for the continued demand of trained manpower in the field of Information Technology, Master of Computer Application course was introduced in the year 1999 and GLS (S. R. Parikh) Institute of Computer Technology was established.
The All India Council of Technical Education has approved this institute as Post Graduate center for conducting 2 years full-time MCA course under self-financing scheme with the intake of 120. After the establishment of the GLS University in 2015, the MCA program is running under the Faculty of Computer Technology following the same norms of the AICTE.
The glorious journey of 22 years is ongoing and is strongly bonded by huge alumni base and strong corporate relationship. The institute is continuously adopting the changes in its syllabus as per the market requirements to cope up with the dynamic nature of IT sector. Student centric best practices and activities are the key highlights of this NAAC accredited institute.
The institute has well equipped computer laboratories with high end computer systems encouraging open source pedagogy. The comfortable classrooms, separate faculty rooms, seminar-cum-conference room for placement activities and other amenities provide a conducive atmosphere for study. The library housed in the same premises for easy access by the students has rich collection of books, journals and E-resources.
The MCA programme aims at inculcating essential skills as demanded by the industry through an interactive learning process. The pedagogy followed by the institute includes theory and practical sessions, audio/video presentations, team building skills, personality development programmes, entrepreneurship guidance and logic building exercises.
Candidate must have appeared in CMAT with minimum 50% (45% for reserved category) in BCA/B.Sc.(IT)/B.Sc.(Computer Science) or equivalent.
B.Sc./B.Com./BA (50% for general category and 45% for reserved category) with Mathematics at 10 + 2 level or at graduation level with additional bridge course as may be decided by competent authority.
The entire academic activities of the programme will be listed in the Academic Calendar to be released at the beginning of each academic year. An overview of the programme is as follows:
|1.||No. of years/semesters||2/4|
|3.||Total No. of Courses
|4.||Total teaching weeks (Per Semester)||15|
Semester – I
|200701101||Data Science I||3||To make students understand the basic statistical methods used for data analysis and managerial decision making.|
|200701102||Advanced Java||3||To equip the students with the core and advanced feature of Java Programming and Client-Server technology.|
|200701103||Cloud Computing||4||To provide the comprehensive and in-depth knowledge of cloud computing concepts, technologies, architecture and applications.|
|200701104||AI and Applications||4||To provide the most fundamental knowledge to the students about "How a computer can learn, plan, and solve problems autonomously like an intelligent human".|
|200701105||Management Information Systems.||4||To understand the Information systems as per the need of organizations and apply the concepts of management by using information systems.|
|200701106||Practicals based on Data Science I (Using R)||3||To make students understand the basic statistical methods used for data analysis and managerial decision making using R.|
|200701107||Practicals based on Advanced Java||3||To equip the students with the core and advanced feature of Java Programming and Client-Server technology.|
|200701308||Practicals based on Advanced Python||4||To provide the basic and advanced knowledge of Python. The students would learn how to design and program Python applications.|
|200701201||Machine Learning with Python||3||The students will achieve the understanding of Machine Learning concepts, the different approaches of the same as well as the methods/procedures/algorithms used to achieve machine learning.|
|200701202||Block Chain Technology||4||The course is designed to provide the basic and advanced knowledge of Block Chain Technology.|
|200701203||Computer Networks||4||Find the need for dividing network into layers List and explain functioning of each layer Relate real world problems and solutions in network context|
|200701204||Software Engineering with UML||4||To introduce basic knowledge of software engineering to students for analysis, design and implementation of object-oriented software systems.|
|200701205||Practicals based on Android Applications Development||4||To acquaint the students with the core concepts of mobile application development ANDROID.|
|200701206||Practicals based on Machine Learning with Python||3||To acquaint the students with major approaches to implement machine learning using Python. Enable them to improvise the machine learning approaches using different libraries and frameworks.|
|200701207||Summer Assignment||2||To allow students to explore the areas/technologies of their interest and not covered in the syllabus or going into much detail in the subject of their interest.|
|200701301||Data Science II||3||To enable students to decide how to process big data on platforms that can handle the variety, velocity, and volume of data.|
|200701302||Embedded Systems & Robotics||4||To Understand the fundamentals of embedded systems and Robotic Process Automation.|
|200701303||Information Security||4||To acquaint students with the knowledge of security risk related to data and information along with other related aspects and understand the tools and methods to protect them.|
|200701305||Practicals based on Data Science II||3||To learn the techniques, tools and methods of the analysis of big data|
|200701306||Dissertation / Mini Project||6||To practice and implement all the skills learned so far in MCA and develop a small write up or mini project report based on the experiments carried out.|
|200701401||Entrepreneurship||5||To enable students to understand the process of starting their own venture and related aspects of enterprising and encourage them to be an entrepreneur.|
|200701402||Industry Internship / Software Development Project||25||To enable student to take the experience of real word scenario in the chosen software related industry and implement the theoretical and practical aspects learned in entire MCA curriculum.|
* Elective courses will be offered subject to a minimum number of students (As decided by the institute) opting for the same.
The elective subjects are divided into two groups. Elective I is offered in semester 2, where in the student taught theory of the said subject and will be given assignments and projects to understand the practical aspects related to the subjects. Elective II and Elective III are offered in semester 3, Elective II is a theory subject, while Elective III is a practical subject.
|Digital Marketing Technology||To make students familiar with internet marketing technology. Learn different digital marketing tools and technologies.|
|Ethical Hacking||To provide the fundamental knowledge of ethical hacking also it demonstrates how attacker target networks, what tools attackers use and how this technique can be used by the ethical hacker.|
|Sensor Network and IoT||To understand the components of Sensor Network. To understand the basic concepts and application of IoT.|
|Distributed Database Systems||To introduce evolution of distributed databases, overview of parallel processing and parallel database design.|
|DevOps, Dockers and Containers||To understand the need of change and improve agile relationship between development and IT operations. To make students aware about automating the deployment of applications as portable, self-sufficient containers that can run virtually anywhere.|
|Parallel Programming Tools||To help students in understanding the need and implementation of multiple processes in single processor and multiprocessor architecture.|
|Game Programming using OpenGL||To Understand the concepts of Game design and development. To Know about Game programming platforms, frame works and engines.|
|Image Processing||To strengthen fundamental knowledge about digital image processing techniques.|
|Design Patterns||To enable Students to understand the concept of Design patterns and its importance. The students will also be able to understand behavioral knowledge of the problem and solutions.|
|Practicals based on iOS Application Development||To enable students in understanding the process of mobile application development with implementation for iOS application.|
|Practicals based on Java Framework||To introduce students to the advance concepts and framework of web based technologies related to JAVA.|
|Course Name||Internal Evaluation||External Evaluation|
|Remaining All Courses||50%||50%|
The Faculty of Computer Technology has modern classrooms with quality audio-visual equipment and computer labs with latest software and equipment.
GLS campus has many computer laboratories that hosts more than 250 high-end workstations with Ubuntu 18.04 LTS client machines, Ubuntu 18.04 & RedHat LINUX servers on fiber-optic backbone with all the necessary software packages and host of peripherals. Two MAC labs with 90 machines are also available in campus for the students to perform practicals on iOS.
Separate Experimental Laboratory is also available to the students for hands-on unscheduled experiments. A dedicated IoT lab to perform experiments on Arduino, Rasberry Pi and WSN. Besides these, students also have access to Red Hat Linux and Ubuntu operating system with development environment for experimental purpose.
Internet facility is available to all students through multiple dedicated high speed connections each of up-to 100 Mbps. The University also provides a high end WiFi connection to the students.
The students have access to excellent library stocked with more than 9000+ books on computer science, more than 40 International and National journals, and more than 5000+ electronic resources (EBSCO, Science Direct, DOAJ to name a few).
Research & International exposure play a vital role in any learning environment, the institute recognizes it thoroughly. GLS University aims to develop technically competent graduates with internationally competitive skills well-suited to the international jobs and assignments of today and the future. The prime focus is to bring internationalization by fostering globally connected research and scholarship.
There are formal and informal arrangements with Foreign Universities / Colleges for Student-Exchange Programme, Organizing Conferences, Joint Research & Visiting Faculty Arrangements. GLS University also offers International Pathway Programmes and Immersion Programmes that prepare a student to have a global educational experience, through exclusive partnerships and pathway arrangements with several institutions of repute in Canada, Australia, Dubai, Europe, Russia, and the USA. List of few Universities is mentioned below:
These academic tie-ups have ensured that both students and faculty members of these universities as well as our institute can partner for joint research opportunities and exchange programme.
Majority of the faculties are involved in academic research activities. They have combined published more than 100+ papers in International as well as National Journals and conferences. Few of the research areas that the faculty work on is Bio Informatics, Artificial Intelligence, Machine Learning, Data Analytics, Natural Language Processing and Internet of Things.
FCT follows the philosophy of holistic development of the students. Hence apart from a strong academic rigour, it encourages the students to participate in various events, competitions, sports and CSR activities. Some of the highlights are:
With the legacy of 22 years, the placement cell is having a strong corporate relationship and alumni base which help the students for getting suitable opportunity.
The placement cell regularly arranges the grooming sessions and practical exposure to enhance the skills of the students. On the completion of MCA programme, a variety of employment options in top IT firms, consultancy firms and public sector are available. Some of the job profiles that our students work in are as follows:
Several of our alumni are working in prominent multinational companies like Amazon, IBM, Microsoft, Okta, Tata Consultancy Services, Wipro, Infosys, Oracle, Accenture, Tech Mahindra, Capgemini, etc. at senior positions.
The institute organizes various technical events like the ones mentioned below:
For the holistic growth of student, the institute organizes extra-curricular activities as mentioned:
As a part of Institute Social Responsibility, regular campaigns conducted by the institute are as mentioned:
Seminars and Workshops
Institute regularly organizes seminars and workshops on the trending technologies which help students to know about the current market trends. Students are also benefited by the interaction with the professional experts. Seminars, Guest Lectures and Workshop conducted since last three years on following topics:
Fee Refund Rule: As per the policy decided by GLSU.
For further information, Please contact us on firstname.lastname@example.org or call us on 9825158392 | 079-26447636