B.Sc Computer Science with Cyber Security

Program Educational Objectives (PEO):

• PEO1: Graduates may additionally have basics in Mathematics, Programming, Networks Network Security, Big Data, Internet Of Things, Cyber laws, Cyber Security basics and advancements to resolve technical troubles.
• PEO2: Graduates may additionally have basics in Mathematics, Programming, Networks Network Security, Big Data, Internet Of Things, Cyber laws, Cyber Security basics and advancements to resolve technical troubles.
• PEO3: Provide solutions making use of the knowledge gained in Artificial Intelligence& machine learning, Cloud Computing, Big Data and Cyber Security.
• PEO4: Demonstrate comprehensive knowledge in IT solution development leading to excellence in professional career and/or higher education including research.
• PEO5: To systematically educate the necessity to understand the impact of cyber crimes and threats with solutions in a global and societal context

Program Outcomes (PO):

• PO1: Develop knowledge in the field of cyber security courses necessary to qualify for the degree.
• PO2: Identify and address own educational needs in a changing world in ways sufficient to maintain the competence and to allow them to contribute to the advancement of knowledge
• PO3: Develop problem solving, decision making and communication skills.
• PO4: Ability to critically analyze, categorizes, formulate and solve the problems that emerges in the field of Cyber Security
• PO5: Strengthen the critical thinking skills and develop professionalism with the state of art ICT facilities.
• PO6: Quality for higher education, government services, industry needs and start up units through continuous practice of preparatory examinations.
• PO7: Gain inter-disciplinary, multi-disciplinary competence as value additions
• PO8: Evaluate the impact of cyber crimesand threats in a global and societal context
• PO9:  An ability to communicate effectively with diverse types of audience and also able to prepare and present technical documents to different groups.
• PO10:  Apply ethical principles and commit to professional ethics and responsibilities.

Program Specific Outcomes (PSO):

• PSO1: Ability to analyze a problem, and identify and define the security related issues appropriate to its solution
• PSO2: Ability to design, implement, and evaluate a security system that capable of identify, prevent and protect from malware attack.
• PSO3: To develop basic understandings of IOT structures and develop familiarity with basic security attacks and its measures.
• PSO4: To code and execute python programming with a higher level of expertise
• PSO5: Expose the students to learn the important of Cyber Security such as Cyber laws, Web designing, intrusion detection and biometric security so that they can opportunity to be a part of industry 5.0

Data Scientist: Data scientists are at the heart of extracting actionable insights from complex datasets. They use a combination of programming, statistical skills, and machine learning to analyze data and predict trends.

Data Analyst: Data analysts focus on processing and performing statistical analysis on existing datasets. Their work often involves creating visualizations, dashboards, and reports to help businesses make informed decisions.

Machine Learning Engineer: These professionals specialize in creating algorithms and predictive models to make predictions or automate decision-making based on data. They work closely with data scientists to implement and optimize machine learning projects.

Data Engineer: Data engineers build and maintain the architecture (like databases and large-scale processing systems) that allows for the efficient analysis and processing of large data sets. They ensure that data flows smoothly from source to database to analytics.

Business Intelligence Analyst: BI Analysts use data analytics and visualization tools to develop insights into the business performance and market trends. They help in strategic planning by providing data-based recommendations to the management.

Quantitative Analyst (Quant): In the finance sector, quants use data analytics to model and predict financial markets, helping companies in risk management, investment management, and trading strategies.

Data Analytics Consultant: These consultants work across industries, advising businesses on how to use data analytics to improve processes, increase efficiency, and boost profits. They often work on a project basis and may serve multiple clients.

Big Data Engineer/Architect: Big Data Engineers or Architects handle the management and organization of big data environments. Their work involves designing, building, and maintaining scalable and secure big data ecosystems.

AI Specialist: Specialists in artificial intelligence develop AI models and applications, often working closely with machine learning engineers and data scientists to integrate AI capabilities into various products and services.