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MCA Full Stack Development

MCA in Full Stack Development

(Industry Integrated)

The MCA in Full Stack Web Development is a two-year postgraduate program offered by the Department of Computer Applications at DBUU and has now become industry-integrated. This program aims to guide students toward innovative excellence in the field of Full Stack Development. Full Stack Web developers play a crucial role in creating high-demand, comprehensive solutions. The curriculum has been purposefully designed to provide students with mastery in various design aspects, ensuring its relevance to industry demands.

The faculty is equipped with state-of-the-art computer laboratories and innovation facilities, enabling students to gain practical training and enrich their exposure to web technology. Moreover, the university boasts a cutting-edge Super-Computer facility, which sets it apart. this program now offers students a chance to experience the real-world business environment firsthand. With specialized knowledge and industry integration, enrolling in this master's in Full Stack Development program will empower students to build engaging and interactive web solutions with diverse functionalities.

Salient Features

  • 19+ years of academic experience
  • Focus on student-centered learning
  • Problem-based learning and industry-relevant curriculum
  • Best placement opportunities to get placed in high-end and reputed companies
  • Industrial training in reputable firms and organizations
  • The privilege of 100% placement guidance and support
  • Department-organized tech fests and hackathons
  • Industry visits, seminars, workshops, and guest lectures by eminent researchers and industry practitioners
  • Active student clubs and bodies
  • The multi-cultural and vibrant teaching environment

Admissions Open 2024!!

Merit-based admission process with online application at Dev Bhoomi Uttarakhand University.

Eligibility & Fee Details

Duration & Eligibility

2 Years

Passed BCA/BSC (CS)/B.Sc IT/ BE (IT)/B.Tech (IT) or equivalent degree or passed any graduation degree preferably with Mathematics at 10+2 level or at graduation level (With additional bridge course for non-mathematics backgrount students) at least 50% (45% for reserved cateogry) at the qualifying examination.

Fee Structure

Course Total Fees
Academic fee ( Per Sem) ₹ 45000/-
Industry Integrated Specialization (Per Semester) ₹ 12,500/-

One Time Fee

Application Fee (Non-Refundable) Admission Fee (Non-Refundable) University Enrollment Fee (Non-Refundable)
₹ 1,500 ₹ 7,000 ₹ 3,000
Exam fees ( Per Semester) 4,500/-

Download Fee Structure

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Program Educational Objectives (PEO's)

PEO-1 To give students the necessary tools to use and apply modern theories and techniques in the field of computer applications.
PEO-2 To equip students with the knowledge they need to recognize computer application-related questions, review them, come up with a solution, or resolve an issue while taking legal, moral, and societal considerations into account
PEO-3 To be aware of the necessity for and capacity for engaging in professional development.
PEO-4 To prepare students for effective teamwork and interaction in an interdisciplinary setting as well as scientific leadership in both academia and industry
PEO-5 To teach students how to effectively communicate using written, oral, computerised, and graphical means.

Program Specific Objectives (PSO's)

PSO-1 To experiment, equip programming theories, and implement fresh ideas and improvements for solving problems in science and society
PSO-2 In order to effectively design computer-based systems of varying complexity, it is necessary to analyse and create computer applications related to system software, cloud computing, algorithms, big data analytics, blockchain, artificial intelligence & machine learning, bioinformatics, cyber security, and networking.
PSO-3 Graduates can write first-level programmes and are proficient in object-oriented programming languages, as well as several other programming languages.
PSO-4 Using an open-source programming environment, standard software engineering practises, methods, and procedures should be implemented in order to produce high-quality products that will advance business.

Program Grid Structure


Semester 1

Course Code Course Credit
21MCA101 Mathematical Foundation for Computer Applications 4
21MCA102 Data Structures with Algorithms 3
21MCA103 Advanced Database Management System 3
21MCA104 Computer System Architecture 3
21MCA105 Python Programming 3
21MCA106 Recent IT Trends 3
21MCA191 Life Skills for Professionals 2
23AEC091 Ability Enhancement Course-I 1
21MCA181 Data Structures with Algorithms Lab 1
21MCA182 Advanced Database Management System Lab 1
21MCA183 Computer System Architecture Lab 1
21MCA184 Python Programming Lab 1

Semester 2

Course Code Course Credit
21MCA201 Operating System with Unix 3
21MCA202 Object Oriented Programming 3
21MCA203 Design & Analysis of Algorithm 3
21MCA204 Advanced Web Technologies 3
21MCA205 Artificial Intelligence 3
21MCA221X Programme Elective-I 3
23AEC092 Ability Enhancement Course-II 1
23OE26X Open Elective-I 2
21MCA281 Operating System with Unix Lab 1
21MCA282 Object Oriented Programming Lab 1
21MCA283 Design & Analysis of Algorithm Lab 1
21MCA284 Advanced Web Technologies Lab 1
VAM203XX Value Added Course-I 0
Social Internship of 3-4 weeks duration in summer vacation after completion of Second Semester, to be evaluated during 3rd semester.

Semester 3

Course Code Course Credit
21MCA301 Advanced Computer Networks 3
21MCA302 Advanced Software Engineering 4
21MCA303 Big Data Analytics 3
21MCA304 Full Stack Development 3
21MCA321X Programme Elective-II 3
21MCA322X Programme Elective -III 3
23AEC093 Ability Enhancement Course-III 1
23OE36X Open Elective-II 2
21MCA381 Advanced Computer Networks Lab 1
21MCA382 Big Data Analytics Lab 1
21MCA383 Full Stack Development Lab 1
23PSPR391XX Minor Project – I 1
23SOCIALIN391 Social Internship 1
VAM303XX Value Added Course-II 0

Semester 4

Course Code Course Credit
23PSPR491XX Industrial Project /Dissertation 12
Programme Elective

Programme Elective-I

21MCA221A Data Mining and Warehousing
21MCA221B Cryptography and Network Security
21MCA221C Mobile Application Development
21MCA221D Introduction to Internet of Things (IOT)

Programme Elective-II

21MCA321A Digital Image Processing
21MCA321B Cyber Security
21MCA321C Cloud Computing
21MCA321D Advanced Wireless Networks

Programme Elective-III

21MCA322A Computer Vision
21MCA322B Computer Forensics
21MCA322C Software Project Management
21MCA322D Machine Learning

Job Opportunities The Course Might Lead To

Explore the best career opportunities after the MCA Full Stack Development in the private and public sectors:

  • Application Developer
  • Cyber Security Developer
  • Machine Learning Engineer
  • Web Developer
  • Software Developer Trainee
  • Blockchain Developer
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Admission 2023-24

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