Division of Digital Sciences

B.Sc. Information Security and Digital Forensics

  • PEO I: Exhibit the technical knowledge and skills to protect and defend computer systems and networks.
  • PEO II: Track the digital activities of potential criminals and help investigators find digitally stored information about their activity.
  • PEO III: Educate the needy to understand the impact of cybercrimes and threats with solutions in global context.

Graduates will be able to:

  • PO 1: Knowledge and understanding: Broad knowledge and understanding of the theories, principles and techniques of basic sciences and computing the solution of complex scientific problems.
  • PO 2: Problem analysis: Demonstrate sound understanding of all the main areas of data science, information security, artificial intelligence, computational analysis and to apply this to the evaluation of computing applications.
  • PO 3: Design/development of solutions: Design algorithms and implement solutions among the subsystems of computing.
  • PO 4: Exploration of problem: Ability to identify and solve problem, draw upon supporting evidence and demonstrate a deep understanding the need for high quality solution.
  • PO 5: Modern tools usage: Create, select and apply appropriate techniques, resources, and modern data science, information security, statistical, and machine learning tools towards problem solving and solution analysis for domain specific problems.
  • PO 6: Data & Information scientist and society: Sufficient skills in data analysis and to assess societal, health, safety and legal issues and to secure the information.
  • PO 7: Societal and environmental concern: Utilize the data science, security, machine learning and statistical theories for societal and environmental concern.
  • PO 8: Professional ethics: Apply ethical principles and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
  • PO 9: Individual and team work: Function effectively as an individual, and as a leader in diverse teams, and in multidisciplinary environment in achieving a common goal.
  • PO 10: Communication: Communicate efficiently on complex activities with the scientific community on activities relevant to society at large and comprehend reports and documentation.
  • PO 11: Application in multi-disciplinary domains: Understand the role of statistical and computational approaches and apply the same to solve real time problems.
  • PO 12: Project management: Demonstrate knowledge to analyze and solve advanced problem in data science, information security, artificial intelligence and computational analysis for career advancement.
  • PSO1: Demonstrate the comprehensive cyber risk management practices for ensuring overall security.
  • PSO2: Apply problem solving skills and the knowledge of digital forensics, cyber security, cyber-crimes, ethical hacking and information management to solve real world problems.
  • PSO3: Expertise in the areas of service-oriented computing and the management of security in business related information systems.

B.Sc. Data Science and Analytics

  • PEO I: Impart the knowledge of programming skills and adapt latest technologies to solve the real-life problems of humanity.
  • PEO II: Provide innovative solutions to complex problems through relevant research on Artificial Intelligence and Machine Learning.
  • PEO III: Demonstrate competencies and practical skills required for effective problem solving and decision making in data science.

Graduates will be able to:

  • PO1: Knowledge and understanding: Apply the knowledge by understanding the theories, principles and techniques of basic sciences and computing the solution of complex scientific problems.
  • PO2: Problem analysis: Analyze problems in the areas of data science, information security, artificial intelligence, computational analysis and to provide solutions by the evaluation of computing applications.
  • PO3: Design/development of solutions: Design algorithms and implement solutions among the subsystems of computing.
  • PO4: Exploration of problem:Identify and solve problems by supporting evidence and demonstrate a deep understanding of the need for high quality solutions.
  • PO5: Modern tools usage: Create, select and apply appropriate techniques, resources, and modern data science, information security, statistical, and machine learning tools towards problem solving and solution analysis for domain specific problems.
  • PO6: Data & Information scientist and society: Develop sufficient skills in data analysis to assess societal, health, safety and legal issues and to secure the information.
  • PO7: Societal and environmental concern: Utilize the data science, security, machine learning and statistical theories for societal and environmental concern.
  • PO8: Professional ethics: Apply ethical principles and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
  • PO9: Individual and team work: Function effectively as an individual, and as a leader in diverse teams, and in a multidisciplinary environment in achieving a common goal.
  • PO10: Communication: Communicate efficiently on complex activities with the scientific community on activities relevant to society at large and comprehend reports and documentation.
  • PO11: Application in multi-disciplinary domains: Demonstrate the knowledge of statistical and computational approaches and apply the same to solve real time problems.
  • PO12: Project management: Device mechanisms, analyze and solve advanced problems in data science, information security, artificial intelligence and computational analysis for career enhancement.
  • PSO1: Demonstrate the knowledge in digital sciences that focuses on software development, information management, database systems, digital security and the ability to adapt and succeed in a rapidly changing digital world.
  • PSO2: Apply problem-solving skills and the knowledge of data science and analytics to solve real world problems.
  • PSO3: Employ the computer languages, platforms and tools in creating novel solutions towards societal problems.

M.Sc. Information Security and Digital Forensics

  • PEO I: Contribute in research and provide innovative solutions in the field of cyber security.
  • PEO II: Understand the impact of cybercrimes and threats with solutions in a global and societal context.
  • PEO III: Identify, analyze and mitigate the complexities associated with threats on data transmission and recovery.

Graduates will be able to:

  • PO1: Acquire problem solving, initiative and enterprise skills that contribute to productive and innovative outcomes.
  • PO2: Develop and update domain knowledge relevant to the chosen field to succeed in highly competitive and rapidly changing work environments.
  • PO3: Prepare to utilize the acquired knowledge leading to innovation and entrepreneurship in order to eliminate the problems of the society.
  • PO4: Demonstrate the ability to design and conduct experiments, demos, create models to analyze and interpret data.
  • PO5: Design and perform experiments related to scientific and computational theories and conceive potential technological applications.
  • PO6: Demonstrate ability for collaborative research and scientific communication through projects, internship and on-site training.
  • PO7: Conceive the ways and means to address various social, economic, environmental, human rights and other critical issues faced by humanity at the local, national and global levels.
  • PSO1: Demonstrate information security and digital forensic concepts, designs and provide solutions effectively and professionally.
  • PSO2: Apply the knowledge of security attacks, mechanisms and attributes to understand the importance of information security and digital forensic solutions in real world applications.
  • PSO3: Make use of information security and digital forensic tools, techniques and modern computing platforms to explore and resolve the problems of society.

Testimonies by our Alumni