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MCA Dev Ops

MCA in DevOps

(Industry Integrated)

The MCA in DevOps program offered by our School of Engineering and Computing is an industry-integrated postgraduate program designed to propel you into the exciting world of DevOps. This two-year program delves deep into the collaborative practices and automation tools that bring development and operations teams together, seamlessly streamlining software delivery.

Key Program Highlights:

  • DevOps Fundamentals: Master the core concepts of DevOps, including continuous integration (CI), continuous delivery (CD), infrastructure as code (IaC), configuration management, and version control.
  • Automation Expertise: Gain hands-on experience with key DevOps tools, including Git, Jenkins, Docker, Kubernetes, Ansible, and Puppet. Hone your skill set in building automated pipelines that streamline every stage of the software development lifecycle.
  • Collaboration & Communication: Cultivate essential communication and collaboration skills to bridge the gap between developers, operations teams, and stakeholders. Learn to work effectively in dynamic environments, fostering a culture of collaboration and shared responsibility.
  • Real-World Application: Put your knowledge into practice through industry-aligned projects and case studies, simulating real-world DevOps challenges and fostering problem-solving abilities. Graduate prepared to tackle complex DevOps tasks in any professional setting.
  • Career-Ready: Equip yourself with the in-demand skills and expertise sought after by organizations across various industries. Position yourself for a successful career in the ever-evolving field of DevOps

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 recognise 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 in DevOps in the private and public sectors:

  • Application Developer
  • Software engineer
  • Development operations engineer
  • Full stack developer
  • DevOps engineer
  • Cloud DevOps Engineer
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Admission 2023-24

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