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COURSE OVERVIEW

faculty members

The B.Tech. CSE (Cyber Security) programme at The Apollo University is an emerging area of Computer Science and Engineering (CSE). To address the industry’s increasing demand for skilled security professionals in the public and private sectors, the Department of Computer Science and Engineering has designed the B.Tech. programme in Computer Science and Engineering (cybersecurity) for the year 2023.

The cybersecurity curriculum provides students with hands-on practical experience with secure systems and applications, an understanding of the legal requirements associated with cybersecurity and the ability to lead, manage and contribute to building cybersecurity solutions. The comprehensive understanding of Secure coding, Information, Network and web security, Cryptography, Cyber risk, Security in context: legal, behavioural and ethical issues and Government and national security.

The department has well-qualified and experienced faculty members. The faculty is a perfect blend of different specialisations in Computer Science and Engineering to impart their expertise in handling diversified courses of the UG Programmes. The teaching methodology in the department goes beyond fulfilling the syllabus requirements of the University to meet today’s industry needs. The faculty motivates and guides the students to do mini-projects in core subjects. Special focus will be given to developing Communication and Soft Skills. The department has a strong association with industries to uplift the students’ practical knowledge.


Programme Objectives

  • To develop a strong theoretical and practical background across the computer science discipline with an emphasis on problem-solving.
  • To inculcate professional behaviour with strong ethical values, leadership qualities, innovative thinking and analytical abilities in the student.
  • Develop professionals with sound knowledge of the theory and practice of computer science and engineering.
  • Facilitate the development of academia-industry collaboration and societal outreach programmes.
  • An ability to apply mathematical foundations, algorithmic principles and computer science theory in the modelling and design of computer-based systems in a way that demonstrates comprehension of the tradeoffs involved in design choices.

Industry Leader Speak

PROGRAMME HIGHLIGHTS

Following are the key features of the B.Tech. CSE- Cyber Security programme at The Apollo University:

An opportunity to work on computer science-related projects with Microsoft India and Harvard Medical School, Boston, USA.
Well-defined teaching-learning process with the use of technology-based teaching methodologies.
Highly Qualified & Research-Oriented Faculty.
Soft skill training Programmes offered by reputed professional companies are arranged to enhance their communication and general aptitude skills.
The degree serves as a basis for further studies and research in this field, such as an M.Tech. and Ph.D.
Network Security Engineer

Programme Curriculum

  • 3 Week Induction Programme
    Course CodeCourse NamePeriods

    per week

    CreditsHours per week
    LTP
    BTAT1701Engineering Physics31044
    BTAT1702Engineering Mathematics31044
    BTAT1801Problem Solving and Programming with C31044
    TAUT1101University Core -I (Communicative English)30033
    University Elective I30033
    BTAL1701Engineering Physics Lab0031.53
    BTAL1801Problem Solving and Programming with C Lab0031.53
    TOTAL15362136
  • Course CodeCourse NamePeriods

    per week

    CreditsHours per week
    LTP
    BTAT1703Probability & Statistics31044
    BTAT1802Basic Electrical and Electronics Engineering31044
    BTAT1301Data Structures31044
    BTAT1302Python Programming31044
    TAUT1102University Core – II (Environmental Studies)30003
    University Elective II30033
    BTAL1802Basic Electrical and Electronics Engineering Lab00212
    BTAL1301Data Structures Lab00212
    BTAL1302Python Programming Lab00212
    TOTAL18462236
  • Course CodeCourse NamePeriods

    per week

    CreditsHours per week
    LTP
    BTAT2701Discrete Mathematics and Graph Theory31044
    BTAT2301Design and Analysis of Algorithms31044
    BTAT2302Object Oriented Programming through Java30033
    BTAT2801Digital Logic design30033
    TAUT2101University Core – III (Health and Wellness)30033
    University Elective -III30033
    BTAT2303Constitution of India30003
    BTAL2301Java Programming Lab00212
    BTAL2801Digital Logic Design lab00212
    TOTAL22262236
  • Course CodeCourse NamePeriods

    per week

    CreditsHours per week
    LTP
    BTAT2307Computer Organization and Architecture31044
    BTAT2901Management for Engineers30033
    BTAT2501Foundations of Data Science30033
    BTAT2304Database Management Systems31044
    BTAT2305Operating Systems31044
    BTAT2502Artificial Intelligence30033
    BTAT2306Universal Human Values30003
    BTAL2302Database Management Systems Lab00212
    BTAL2501Exploratory Data Analytics with R lab00212
    TOTAL21242336
  • Course CodeCourse NamePeriods

    per week

    CreditsHours per week
    LTP
    BTAT3501Machine Learning30033
    BTAT3301Computer Networks30033
    BTAT3302Automata and Compiler Design31044
    Faculty Elective – I30033
    Programme Elective – I30033
    BTAM3501MOOC – I00033
    BTAT3303Entrepreneurship and Start-up Management30003
    BTAL3501Machine Learning Lab00212
    BTAL3301Computer Networks Lab00212
    TOTAL18182136
  • Course CodeCourse NamePeriods

    per week

    CreditsHours per week
    LTP
    BTAT3502Natural Language Processing30033
    BTAT3503Data Warehousing and Mining30033
    Faculty Elective – II30033
    Programme Elective – II30033
    Programme Elective – III30033
    BTAM3502MOOC – II00033
    BTAL3502Natural Language Processing lab00212
    BTAL3503Data Warehousing and Mining lab00212
    TOTAL15042036
  • Course CodeCourse NamePeriods

    per week

    CreditsHours per week
    LTP
    BTAT4501Big Data Analytics30033
    BTAT4502Neural Networks and Deep Learning30033
    Programme Elective – IV30033
    Programme Elective – V30033
    BTAM4501MOOC – III00033
    BTAP4501Mini Project00212
    BTAL4501Big data Analytics lab00212
    BTAL4502Neural Networks and Deep Learning lab00212
    TOTAL120102036
  • Course CodeCourse NamePeriods

    per week

    CreditsHours per week
    LTP
    BTAP4502Project Work00241224
    BTAI3501Internship-I Evaluation#

     

    00020
    BTAI4501Internship – II Evaluation#00020
    TOTAL00241624

PROGRAMME FEE AND SCHOLARSHIPS

One-Time FeeAdmission Fee₹ 7,000
1st YearTuition Fee + Annual Recurring Fee₹ 2,50,000 + ₹ 13,000
2nd YearTuition Fee + Annual Recurring Fee₹ 2,50,000 + ₹ 13,000
3rd YearTuition Fee + Annual Recurring Fee₹ 2,50,000 + ₹ 13,000
4th YearTuition Fee + Annual Recurring Fee₹ 2,50,000 + ₹ 13,000
Total Programme Fee (4 Years)₹ 10,59,000

Scholarship is available for eligible students

Eligibility

Candidates must secure 50% in Physics, Chemistry and Mathematics of Intermediate or in the diploma course or must have appeared for Class 12 or equivalent examination with Physics, Chemistry and Mathematics as major subjects from any recognised board. Candidates who have completed or qualified for the final year of a diploma in engineering courses are also eligible. Candidates must not exceed the age of 24 years and the minimum age for applying is 17 years as of 31st December of the Calendar Year.

Lateral Entry

Total Course DurationYou Will Join InSeats AvailableEducation Qualification
3 Years2nd Year6Students must have completed their three-year engineering diploma in ANY branch of Engineering and Technology from a recognized institute to apply for this program. They also must have secured at least 50% marks in their diploma program.

EMPLOYABILITY AREAS

The CSE (Cyber Security) graduates can explore employment opportunities in various public and private sectors. They mostly acquire the following positions:

B.Tech. CSE (Cyber Security)
  • Application Security Analyst
  • Digital Forensics
  • Network Security Engineer
  • Penetration Testing
  • Vulnerability Management
  • Cloud Security Management