Best MCA College in Lucknow, UP
BBDU has the School of Computer Applications having a legacy of 10 years and it is regarded as the best MCA college in Lucknow. Students who are looking to pursue a career in software development or teaching can opt for a master’s course in computer application after completing their graduation. The course offers amazing job opportunities for the students in the software companies and multinational firms.
The course of MCA is designed in a way such that the students grab much deeper understanding about the computer languages as well as their applications in various sectors. BBDU provides its student with the state of the art labs, high-quality education and industrial training as well. In addition, the college also provides the opportunity for research and development. All these certainly make it as the top MCA college in Lucknow.
BBDU also motivates its students to contribute in the future development of the software sector as well as strive for excellence in their field of profession.
Course Details
| School Name: | School of Computer Applications |
| Course Length: | 2 Years |
| Session Start | August |
| Course Type: | Full Time |
| Eligibility Criteria: | As per UGC norms |
| Programme Fee: | Rs. 55, 250/- Per Semester |
| Syllabus | Academic Session 2025–26 as per NEP-2020 Session 2021-22 Academic Session-2024-25 as per NEP-2020 |
Program Details/FAQs
- Software Developer / Engineer
- Data Scientist / Analyst
- System Analyst
- Web or App Developer
- Database Administrator
- Cybersecurity Analyst
- AI/ML Engineer
- IT Consultant
- DevOps Engineer
Yes, many universities offer PhD programs in Computer Science, AI, or related areas post-MCA.
- Entry-level salary: ₹4–8 LPA
- With experience or specialization: ₹10–20+ LPA
- Salary depends on skills, internships, and company profile
Yes, in the final semester.
Yes. Labs, mini-projects, final-year capstone, and internships are part of the curriculum.
Java, Python, SQL, C# and Android Programming.
Yes, MCA is a great option for individuals interested in IT and Computer Science. It opens up many opportunities for jobs in software development, data analysis, and other IT-related fields, which have high demand in the market.
Yes, you are eligible for NET/JRF for Computer Science and Applications.
Yes, MCA graduates are eligible for many state and central government jobs including those in IT department, PSU exams and teaching positions.
M.Tech.(CSE) is more engineering focused where as MCA is application and software focused. Both are respected and recognized for technical role.
- Software Developer / Engineer
- Data Scientist / Analyst
- System Analyst
- Web or App Developer
- Database Administrator
- Cybersecurity Analyst
- AI/ML Engineer
- IT Consultant
- DevOps Engineer
- Entry-level salary: ₹4–8 LPA
- With experience or specialization: ₹10–20+ LPA
- Salary depends on skills, internships, and company profile
Yes, in the final semester.
Yes. Labs, mini-projects, final-year capstone, and internships are often part of the curriculum.
Yes, many universities offer PhD programs in Computer Science, AI, or related areas post-MCA (Data Science & Artificial Intelligence).
Java, Python, HTML, JavaScript, PHP, SQL and C#.
MCA (Data Science & Artificial Intelligence) is a 2-year postgraduate course focused on areas such as machine learning, artificial intelligence, data science and emerging new technologies.
The program covers subjects like programming languages, data structures, database management, software engineering, networking, artificial intelligence, machine learning, and web development.
Yes, MCA (Data Science & Artificial Intelligence) is a great option for individuals interested in IT and computer science. It opens up many opportunities for jobs in software development, data analysis, and other IT-related fields, which have high demand in the market.
Yes, this program is recognized by UGC.
| PO(Program Outcomes) | |
|---|---|
| PO1 | Computer Application Knowledge: Apply the knowledge of mathematics and computing fundamentals to various real-life applications for any given requirement. |
| PO2 | Problem analysis: Expertise to transform complex business scenarios and contemporary issues into problems, investigate, understand as well as propose integrated solutions using upcoming technological methods. |
| PO3 | Design/Development of Solutions: Design applications for any desired needs with appropriate considerations for any specific need on societal and environmental aspects |
| PO4 | Conduct Investigations of Complex Computing Problems: Ability to devise and conduct experiments, interpret data and provide well-informed conclusions. |
| PO5 | Modern Tool Usage: Integrate and apply efficiently the contemporary IT tools to all computer applications. |
| PO6 | Perennial Learning: Involve in perennial learning for continued career development and progress as a computer professional. |
| PO7 | Individual and Team Work: Function effectively both as a team leader and team member on multidisciplinary projects to demonstrate computing and management skills. |
| PO8 | Environment and Sustainability: Utilize the computing knowledge efficiently in projects with concern for societal, environmental, and cultural aspects. |
| PO9 | Project Management: Function competently as an individual and as a leader in multidisciplinary projects |
| PO10 | Innovation: Create and design innovative methodologies to solve complex problems for the betterment of society |
| PO11 | Entrepreneurship: Apply the inherent skills with absolute focus to function as a successful entrepreneur. |
| PO12 | Life-long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in technological change. |
| PSO (Program Specific Outcomes) | |
|---|---|
| PSO1 | Explore technical comprehension in varied areas of Computer Applications and experience a conducive environment in cultivating skills for thriving career and higher studies. |
| PSO2 | Comprehend, Explore and build up computer programs in allied areas like Algorithm, System software, Multimedia, Web Design and Data analytics for efficient design of computer-based systems of varying complexity. |












