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 |
Click Here |
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 |
Practical | ||
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 |
TOTAL | 26 |
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 |
Practical | ||
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. | ||
TOTAL | 25 |
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 |
Practical | ||
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 |
TOTAL | 27 |
Semester 4
Course Code | Course | Credit |
---|---|---|
Practical | ||
23PSPR491XX | Industrial Project /Dissertation | 12 |
TOTAL | 12 |
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
Admission 2023-24