Khandesh College Education Society's
Institute of Management & Research, Jalgaon
An Autonomous Institute Affiliated to KBC North Maharashtra University, Jalgaon
NAAC Accredited 'A' Grade (3.17) CGPA

BCA

About Program

Name of the Program

  • Bachelor of Computer Application
  • Bachelor in Computer Applications (BCA-Honours)
  • Bachelor in Computer Applications (BCA-Honours with Research)
Apex body Approval: DTE, KBC NMU
Faculty: Science and Technology
Duration of the program: 3/4 years (Comprising 6 Semesters)
Medium of the instruction and examination: English
Examination Pattern: 60 % External Assessment + 40 % Internal Assessment
Passing Standards: Separate passing for Internal as well as External Assessment (min 40%)
Evaluation mode: CGPA
Total Credits of the program for 3-year BCA will be: 132
Total Credits of the program for 4-year BCA will be: 176

Program Details


Program Name Duration Intake Affiliated with Fees Inforamtion Broucher
Bachelor of Computer Application (BCA) 3/4 Year 240 Kavayitri Bahinabai Chaudhari North Maharashtra University, Jalgaon View Fee Information Brochure
(2025-26)

Programme Specializations

  1.     Artificial Intelligence/ Data Analytics-I
  2.     Machine Learning/ Data Analytics-II
  3.     Natural Language Processing/ Digital Image Processing – I
  4.     Generative AI/ Digital Image Processing - II

Admission Process

  1. A Common Entrance Examination procedure will be adopted for admission to BCA First Year Course.
    • Passed 10 + 2 (HSC) or its equivalent examination (As per the AICTE APH 2024 - 2027)
    • Candidates appearing for 10 + 2 (HSC) or its equivalent examination are also eligible to appear for CET
  2. Online registration of application and uploading of required documents by the Candidate for admission on website
    • Documents verification and confirmation of Application Form for Admission by online mode.
    • Display of the provisional merit list for Maharashtra State/All India candidates on website.
    • Submission of grievances if any, for all type of Candidates
    • Display of the Final Merit lists of Maharashtra State/All India candidates on website

Eligibility

Candidate must have passed 10+2 H.S.C. (from any stream) exam of Maharashtra State or its equivalent Examination

Or

Candidate must have passed 10+2 M.C.V.C. course from Maharashtra State Education Board. Only candidates who have appeared for MAHB- BBA/BCA/BMS/BBM are eligible for admission process to this course.

Objective of Program

  1. Develop a deep understanding of computer science and its real-world applications, including programming languages, data structures and algorithms, computer networks, databases, and software engineering.
  2. Gain practical experience in software development by designing, implementing, and testing software systems using industry-standard tools and technologies.
  3. Build critical thinking and problem-solving skills to tackle complex challenges in computer science and develop innovative solutions with cutting-edge technologies.
  4. Develop effective communication, collaboration, and teamwork skills to work effectively in diverse and interdisciplinary environments.
  5. Acquire knowledge and skills in emerging areas of computer science, such as artificial intelligence, machine learning, computer vision, cybersecurity, and big data analytics, to stay current with the rapidly evolving technological landscape.

Programme Outcomes

A Programme outcome is broad in scope and defines what the students will be able to do at the end of the Programme. POs are defined in line with the graduate attributes as specified above. POs are to be specific, measurable and achievable.

S. No. Program Outcomes
PO1 At the end of the program students understand, analyse and develop computer programs in the areas like Web Design, Database manipulation, Windows & Mobile Application.
PO2 At the end of the program students understand, object-oriented programming features through various programming languages.
PO3 At the end of the program students are able to create dynamic, Interactive webpage’s using various web technologies.
PO4 At the end of the program students understand the use of structured query language and it syntax, transactions, database recovery and techniques for query optimization.
PO5 At the end of the program students are able to work in the IT sector as system engineer, software tester, junior programmer, web developer, system administrator, software developer etc.
PO6 If chosen particular elective at the end of the program students are able to analyze very large data sets in the context of real world problems using various data analytical tools.
PO7 If chosen particular elective it will help students to develop in depth understanding of the key technologies in AI, data mining & machine learning.

Course Outcomes

Program Structure

Teaching Learning Process

  • Seminars and Workshops: Inviting eminent personalities who have achieved some achievement in their field to take some seminars and workshops for the students greatly help them interact with present and ongoing advancements in the technology and market. Seminars and workshops are capable of keeping the students updated with the technology.
  • Reinforced Teaching Method: Every faculty has their sole style of teaching and students adopt the method, by this way student develops a tendency of selective studying.
  • Framed Questioning Method: It has always been observed that the knowledge of student become limited due to the lack of appropriate questions to be asked to a teacher during his or her lecture. Few students who are attentive in the class are unwilling to ask questions either due to shyness or communication problems. This method suggests dividing the students into groups and asking them to give presentations on certain topics.
  • Model-Based Learning: The students are best in visualization. Model-based learning is a helpful and effective way of learning. To make it more comfortable and easy to understand, the faculty member may show a video presentation about the topic before starting the class. Automatically, the students will be more attentive in the lecture.
  • Group Discussion: This teaching is a unique aspect of the educational experience. In Group Discussion, students discuss the topic with the faculty individually or in small groups which enhance their verbal communication skills and give them an opportunity to receive constant feedback. The faculty encourages the student to develop critical and analytical thinking as well as problem-solving skills.
  • Projects and Assignments: Project-based learning and regular assignments form an integral part of the academic curriculum and help the students to apply the concepts which result in deeper understanding of the subject and related topic.

Career & Job Opportunities

  •     MCA or MBA
  •     Web Developer
  •     Digital Marketer
  •     E-commerce Executive
  •     Educator
  •     Technical Analyst
  •     Data Scientist
  •     Software Developer Trainee
  •     Banking Sector
  •     Cyber Security Expert
  •     Tally Operator
  •     Network Analyst

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