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Schools

M.C.A. – Masters of Computer Applications
Program Overview

The MCA is a 2 years programme designed to cultivate highly capable Information Technology professionals by focusing on application-oriented skills, including creative problem-solving and logical reasoning. SCSEA prepares individuals for impactful IT careers by delivering an education benchmarked against international requirements. Graduates will gain the ability to critically evaluate, innovatively design, and effectively develop software systems, ultimately mastering logic development principles and best-in-class software practices.

Track Specialization:
  • Artificial Intelligence and Data science
  • Cyber Security
Program Objectives
  • The program is designed to thoroughly educate postgraduate students.
  • Students gain in-depth knowledge in either Artificial Intelligence or Cyber Security to address societal issues.
  • It is a postgraduate program aimed at advanced learning.
  • The goal is to develop a high level of skill in the chosen specialization.
  • The curriculum combines traditional and innovative teaching methods.
Program Outcomes
  • PO1 – Computing Knowledge : Apply knowledge of computing fundamentals, programming, and domain-specific concepts to solve complex problems in computer applications.
  • PO2 – Problem Analysis : Identify, analyze, and define computing requirements and problems, and use appropriate techniques to provide effective solutions.
  • PO3 – Design and Development : Design and develop software applications or systems that meet specific user needs, while considering realistic constraints such as security, usability, and sustainability.
  • PO4 – Conduct Investigations of Complex Computing Problems : Use research-based knowledge and methods to conduct experiments, interpret data, and derive valid conclusions related to computing challenges. 
  • PO5 – Modern Tool Usage : Use modern computing tools, technologies, and environments effectively for developing solutions and understanding limitations. 
  • PO6 – Professional Ethics : Apply ethical principles and commit to professional ethics and responsibilities in the computing profession. 
  • PO7 – Communication Skills : Communicate effectively on complex computing activities with the computing community and society at large, such as being able to comprehend and write effective reports, design documentation, and deliver presentations. 
  • PO8 – Individual and Team Work : Function effectively as an individual, and as a member or leader in diverse teams and multidisciplinary settings.
  • PO9 – Lifelong Learning : Recognize the need for, and have the ability to engage in, independent learning for continual development as a computing professional.
  • PO10 – Societal and Environmental Concern : Understand the impact of professional solutions in societal and environmental contexts, and demonstrate knowledge of and responsibility for sustainable development.
  • PO11 – Project Management and Finance : Demonstrate knowledge and understanding of computing and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • PO12 – Innovation and Entrepreneurship : Demonstrate innovation in designing software applications and exhibit entrepreneurial skills to contribute to the growth of the IT industry.
Course Structure
Tentative Structure
Semester I
  • Statistical Mathematics
  • Design Analysis & Algorithm
  • Data Structure with Python
  • Data Mining & Warehousing
  • Artificial Intelligence & Data Science
Semester II
  • Statistical Mathematics
  • Design Analysis & Algorithm
  • Data Structure with Python
  • Data Mining & Warehousing
  • Artificial Intelligence & Data Science
Semester II Track (Artificial Intelligence and Data Science)
  • Advanced AI
  • Advance Big Data Analytics
  • Fuzzy Logic and Applications
  • Natural Language Processing (NLP)
  • Reinforcement Learning
  • Industrial Internship
Semester II Track (Cyber Security)
  • Computer Network
  • Information Security
  • Encryptions & Cryptography
  • Fundamentals of Cyber Crime & Cyber Security
  • Fundamental of Hacker Methodologies
Semester III (Artificial Intelligence and Data Science)
  • Deep Learning
  • Computer Vision
  • Generative AI
  • AI Ethics
  • Soft Computing
Semester III Track (Cyber Security)
  • Digital Forensics
  • Cyber Threat Intelligence & Malware Analysis
  • Cloud Security
  • Vulnerability Assessment & Penetration Testing
  • Ethical Hacking
Semester IV (Artificial Intelligence and Data Science)
  • Capstone Project
Semester IV Track (Cyber Security)
  • Capstone Project
Tracks

After completion of First semester students will choose one of two specialized tracks: "Artificial Intelligence and Data Science" or " Cyber Security" This specialization allows the program to address the varied interests and career aspirations of students, equipping them with the necessary skills for success in the software industry.

Artificial Intelligence and Data Science

Track in Artificial Intelligence (AI) and Data Science provides a comprehensive education in two of the most rapidly evolving and impactful fields in modern technology. Students will typically gain a strong foundation in mathematics, statistics, and computer science, essential for understanding the underlying principles of both AI and data science. The AI component focuses on developing intelligent systems capable of performing tasks that typically require human intelligence, encompassing areas like machine learning, deep learning, natural language processing, computer vision, and robotics. The Data Science aspect emphasizes the extraction of insights and knowledge from large datasets, covering topics such as data collection, cleaning, analysis, visualization, and predictive modeling. Through a combination of theoretical knowledge and practical application, often involving real-world projects and industry tools, graduates from this track are prepared for diverse roles in sectors ranging from healthcare and finance to manufacturing and research, driving innovation and data-driven decision-making.

Opportunities in Artificial Intelligence and Data Science

The convergence of Artificial Intelligence and Data Science has opened up a vast landscape of high-demand and high-paying career opportunities across virtually every industry. Professionals in this field are crucial for harnessing the power of data to drive innovation, optimize operations, and create intelligent solutions. Key roles include Data Scientists, who analyse complex datasets to extract actionable insights and build predictive models; Machine Learning Engineers, responsible for designing, building, and deploying machine learning models; and AI Engineers, who focus on developing and integrating AI systems into various applications. Emerging roles such as AI Ethics Specialists are gaining prominence, addressing the critical need for responsible and unbiased AI development. Other significant opportunities lie in Natural Language Processing (NLP) Engineers, Computer Vision Engineers, Big Data Engineers/Architects, AI Product Managers, and AI Consultants

Cyber Security

A Cyber Security track equips students with the essential knowledge and practical skills to protect digital systems, networks, and data from evolving cyber threats. This specialized program typically covers a broad spectrum of topics, including network security, information security, ethical hacking, digital forensics, incident response, cryptography, and risk management. Students learn to identify vulnerabilities, prevent attacks, and respond effectively to security breaches, often gaining hands-on experience with industry-standard tools and techniques in simulated environments. The curriculum emphasizes both offensive and defensive cybersecurity strategies, ensuring graduates can anticipate and mitigate risks. A strong foundation in computer science and programming is usually a prerequisite, and the program often incorporates compliance with legal and ethical standards in cybersecurity. Ultimately, a cybersecurity track prepares individuals to become vital guardians of our increasingly interconnected digital world.

Opportunities in Cyber Security

The demand for cybersecurity professionals is experiencing unprecedented growth, driven by the increasing sophistication and frequency of cyberattacks. This translates into a wide array of promising career opportunities across various sectors. Some of the most sought-after roles include Information Security Analysts, who monitor systems for breaches, investigate incidents, and implement security measures; Security Engineers, who design, build, and maintain secure network architectures and systems; and Penetration Testers (Ethical Hackers), who proactively identify vulnerabilities by simulating attacks. Beyond these, specialized positions are emerging, such as Cloud Security Engineers to protect cloud environments, Digital Forensics Analysts to investigate cybercrimes and recover data, and Incident Response Specialists who manage and mitigate the impact of security breaches. Leadership roles like Chief Information Security Officers (CISOs) are also critical, overseeing an organization's entire cybersecurity strategy.

Eligibility Criteria

Duration – 2 years

Qualifying Examination:

Passed any graduation degree (e.g.: B.E. / B.Tech./ B.Sc / B.Com. / B.A./ B. Voc./ BCA/ BBA CA etc,) preferably with Mathematics at 10+2 level or at Graduation level

Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category as per Maharashtra state government rules) in the qualifying examination.

(DYPIU will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to prepare Level playing field and desired learning outcomes of the programme)

Selection criteria:

Students with good scores in MH-CET, PERA CET, CUET, or any other equivalent competitive exams, DYPIU Entrance Test and/or Personal Interaction

Fee Structure
  • Tuition fee - Rs. 75,000/- per semester
  • Registration fee - Rs. 2,500/- per semester
  • Caution Deposit - Rs. 10,000/- (refundable at the end of the program)

*Semester fees may change as per approval from Fee Fixation Committee

Scholarship

If eligible and available, Teaching Assistantships may be offered on semester wise basis

TAship (Hours/Week) 1st year (Rs/Month) 2nd Year (Rs/Month)
6 Hours 5,400/- 6,000/-
10 Hours 9,000/- 10,000/-
20 Hours 18,000/- 20,000/-
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