bca

Program Overview

The Bachelor of Computer Applications (BCA) program at Surana Educational Institutions is a dynamic undergraduate program designed to equip students with the foundational knowledge and practical skills required to excel in the field of Information Technology. Blending academic rigor with hands-on learning and industry exposure, the program prepares students for diverse careers in software development, IT consulting, and emerging technology fields.

Key Features

  • Modern Computing Infrastructure: Access to state-of-the-art computer labs and advanced technology to meet the dynamic demands of the IT industry.
  • Industry-Aligned Curriculum: Courses designed to reflect current trends in technology, ensuring students gain relevant and in-demand skills.
  • Skill-Based Training: Opportunities for certifications in cutting-edge technologies, such as Python, Cloud Computing, AI, Data Visualization, and Cybersecurity.
  • Experienced Faculty: A team of highly qualified educators and industry practitioners committed to mentoring students through innovative teaching methods and real-world projects.
  • Pre-Placement Training: Specialized programs, including collaborations with industry leaders to enhance employability and prepare students for competitive job markets.

Eligibility

  • A pass at the +2 level (Karnataka PUC / ISC / CBSE / State Boards) from any recognized Board in India.
  • Students must have a minimum of 50% marks in class 12 to be eligible for admission.
  • The merit is calculated based on the candidate’s performance in the qualifying exam (12th).

Specialisation

  • 1. Artificial Intelligence and Machine Learning
  • 2. Full Stack Development
  • 3. Data Science

VISION

To give quality individuals to the society as useful resource in nation building

MISSION

Empowering Young Minds to the changing needs

VISION

To give quality individuals to the society as useful resource in nation building.

MISSION

Empowering Young Minds to the changing needs.

Program Outcomes

  • PO 1: Explain the principal theories and concepts in core disciplines of study.
  • PO 2: Decipher real time problems to offer feasible solutions
  • PO 3: Apply critical thinking, analytical skills and domain specific knowledge for data driven decisions
  • PO 4: Exhibit leadership qualities and effectively collaborate with diverse teams to achieve the set outcomes
  • PO 5: Communicate proficiently in both oral and written format for professional and personal needs
  • PO 6: Design and participate in activities to promote ethical practices and social sensitivity.
  • PO 7: Adapt emerging tools and technologies to address industry requirements
  • PO 8:Develop and deliver software solutions that prioritizes user requirements.

Value Added Courses

  • 1. MERN Stack Development
  • 2. Internet of Things
  • 3. Cloud Services and AWS
  • 4. Generative AI
  • 5. Advanced Excel with AI
  • 6. Data Engineering
Mrs. Vidya A

Name: Mrs. Vidya A

Designation: Assistant Professor

Qualification: MCA

Teaching Experience: 25 Years

Mrs. Ashwini. S. Diwakar

Name: Mrs. Ashwini. S. Diwakar

Designation: Assistant Professor

Qualification: MSc(CS), MTch(IT), (PhD)

Teaching Experience: 18 Years

Mrs.Shravani.B

Name: Mrs.Shravani.B

Designation: Assistant Professor

Qualification: MCA, (PhD)

Teaching Experience:14 Years

Ms. Asha H

Name: Ms. Asha H

Designation: Assistant Professor

Qualification: MCA, (PhD)

Teaching Experience: 2 Years

Mrs. Spoorthi K S

Name: Mrs. Spoorthi K S

Designation: Assistant Professor

Qualification: MCA

Teaching Experience: 10 Years

Mrs. Madhushree B S

Name: Mrs. Madhushree B S

Designation: Assistant Professor

Qualification: MSC(CS), B.Ed

Teaching Experience: 3 Years

Mrs. Geetha A.M

Name: Mrs. Geetha A.M

Designation: Assistant Professor & IQAC-Convenor

Qualification: MSc, MPhil, NET, [PhD]

Teaching Experience: 19 Years

Dr. Govindaraj Pandith TG

Name: Dr. Govindaraj Pandith TG

Designation: Associate Professor

Qualification: M.Sc, PGDCA, Ph.D

Teaching Experience:

Ms. Vidhya H B

Name: Ms. Vidhya H B

Designation: Assistant Professor

Qualification: MCA

Teaching Experience:

Briti Deb

Name: Mr. Briti Deb

Designation: Assistant Professor

Qualification: M.Sc, M.Tech

Teaching Experience:

Sl No Event Name Date Brochure
1 Think Code Optimize Repeat 13-02-2025 View
2 “Think Before You Click: Cyber Awareness in Everyday Life" 01-02-2025 View
3 Mobile Application Development 10-01-2025 View
4 INDUSTRIAL VISIT TO eMUDHR 12-11-2024 View
5 GODOT Engine Workshop 10-11-2024 View
6 Guest Lecture 01-02-2025 View
7 Inauguration of Esoteric – The IT Club 31-08-2024 View
8 Person To Personality – An Interview with IT Professional 10-08-2024 View
9 MongoDB Self-certification course 10-09-2024 View
10 Bridge course for I Sem BCA Students 26-07-2024 View
11 Network Security: Trend and Challenges 10-08-2024 View
12 Design Lab – Figma workshop 03-08-2024 View
13 INTERNSHIP ORIENTATION FOR FINAL YEAR BCA STUDENT 02-07-2024 View

I SEM BCA COURSE MATRIX

Sl. No. Course Title Credits CIE Marks SEE Marks Total Marks
1 Language 1 3 20 80 100
2 Language 2 3 20 80 100
3 Environmental Studies (EVS) 2 10 40 50
4 Discrete Structures 3 20 80 100
5 Problem-Solving Techniques 3 20 80 100
6 Computer Architecture 3 20 80 100
7 Problem-Solving Technique Lab 2 10 40 50
8 Computer Architecture Lab 2 10 40 50
9 Office Automation Tools (Lab) 2 10 40 50
Total 25 190 560 750

II SEM BCA COURSE MATRIX

Sl. No. Course Title Credits CIE Marks SEE Marks Total Marks
1 Language 1 3 20 80 100
2 Language 2 3 20 80 100
3 Constitutional Values - I 2 20 80 100
4 Data Structures 4 20 80 100
5 Object-Oriented Programming using Java 4 20 80 100
6 Operating Systems 4 20 80 100
7 Data Structures Lab 2 10 40 50
8 Object Oriented Programming using Java Lab 2 10 40 50
9 Linux and Shell Programming Lab 2 10 40 50
Total 26 140 560 700

III SEM BCA COURSE MATRIX

Sl. No. Course Title Credits CIE Marks SEE Marks Total Marks
1 Language 1 3 20 80 100
2 Language 2 3 20 80 100
3 Database Management System 4 20 80 100
4 Artificial Intelligence 4 20 80 100
5 Probability and Statistics 4 20 80 100
6 Artificial Intelligence Lab using Python 2 10 40 50
7 Database Management System Lab 2 10 40 50
8 Statistics using Spreadsheet Lab 2 10 40 50
9 Skill Enhancement Course  
Total 24 140 560 700

IV SEM BCA COURSE MATRIX

Sl. No. Course Title Credits CIE Marks SEE Marks Total Marks
1 Language 1 3 20 80 100
2 Language 2 3 20 80 100
3 Database Management System 4 20 80 100
4 Artificial Intelligence 4 20 80 100
5 Probability and Statistics 4 20 80 100
6 Artificial Intelligence Lab using Python 2 10 40 50
7 Database Management System Lab 2 10 40 50
8 Statistics using Spreadsheet Lab 2 10 40 50
9 Skill Enhancement Course  
Total 24 140 560 700

V SEM BCA COURSE MATRIX

Sl. No. Course Title Credits CIE Marks SEE Marks Total Marks
1 Internship 2 50 50 100
2 Discipline Elective-1: Data Mining 3 40 60 100
Discipline Elective-1: Computer Graphics 3 - - -
3 Discipline Vocational-1: Quantitative Techniques 3 40 60 100
4 DSC1: Artificial Intelligence 4 40 60 100
5 DSC2: Data Analytics 4 40 60 100
6 DSC3: Web Programming 4 40 60 100
7 DSC2 LAB: Data Analytics Lab 2 25 25 50
8 DSC3 LAB: Web Programming Lab 2 25 25 50
Total 24 300 400 700

VI SEM BCA COURSE MATRIX

Sl. No. Course Name Credits CIE Marks SEE Marks Total Marks
1 Project 4 40 60 100
2 Discipline Elective-2: Operation Research 3 40 60 100
Discipline Elective-2: Software Testing 3 - - -
3 Discipline Vocational: Electronic Content Design 3 40 60 100
4 Cyber Crime, Cyber Law and Intellectual Property Right 3 40 60 100
5 Machine Learning 4 40 60 100
6 Mobile Application Development 4 40 60 100
7 Machine Learning Lab 2 25 25 50
8 Mobile Application Development Lab 2 25 25 50
Total 25 290 410 700