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COURSE OVERVIEW

B.Tech. CSE

The B.Tech. CSE programme at The Apollo University aims to provide expertise in computation through strong knowledge of Algorithms, Data Structures, and coding skills in programming languages like Python, C, Java and open-source technologies, Artificial Intelligence, Cloud and Big Data technologies.

The Department has well-equipped, specialised laboratory facilities like Python Programming, Programming for Problem Solving using C, Data Structures, programming with Objects, Database Management Systems, Web Application Development, Data Mining, Big Data and Analytics, etc.

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.


PROGRAM 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 thinkin 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.

Industry Leader Speak

PROGRAMME HIGHLIGHTS

The following are the advantages of Joining B.Tech. Computer Science & Engineering 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.
B.Tech. CSE Student

Programme Curriculum

  • 3 Week Induction Programme
    Course CodeCourse NamePeriods
    per week
    Credits
    LTP
    BTCT1701Engineering Physics3104
    BTCT1702Engineering Mathematics3104
    BTCT1801Problem Solving and Programming with C3104
    BTCT1101Communicative English3003
    BTCT1201University Elective I3003
    BTCL1701Engineering Physics Lab0031.5
    BTCL1801Problem Solving and Programming with C
    Lab
    0031.5
    TOTAL153621
  • Course CodeCourse NamePeriods
    per week
    Credits
    LTP
    BTCT1703Probability & Statistics3104
    BTCT1802Basic Electrical and Electronics Engineering3104
    BTCT1301Data Structures3104
    BTCT1302Python Programming3104
    BTCT1102Environmental Studies3000
    BTCT1202University Elective II3003
    BTCL1802Basic Electrical and Electronics Engineering
    Lab
    0021
    BTCL1301Data Structures Lab0021
    BTCL1302Python Programming Lab0021
    TOTAL184622
  • Course CodeCourse NamePeriods
    per week
    Credits
    LTP
    BTCT2701Discrete Mathematics and Graph Theory3104
    BTCT2301Design and Analysis of Algorithms3104
    BTCT2302Object Oriented Programming through Java3003
    BTCT2801Digital Logic design3003
    University Core – III3003
    University Elective -III3003
    BTCT2303Constitution of India3000
    BTCL2301Java Programming Lab0021
    BTCL2801Digital Logic Design Lab0021
    TOTAL212422
  • Course CodeCourse NamePeriods
    per week
    Credits
    LTP
    BTCT2702Deterministic     Stochastic     and     Statistical
    Methods
    3104
    BTCT2901Management for Engineers3003
    BTCT2501Software Engineering3003
    BTCT2304Database Management Systems3003
    BTCT2305Operating Systems3104
    BTCT2502Computer Organization and Architecture3003
    BTCT2306Universal Human Values3000
    BTCL2302Database Management Systems Lab0021
    BTCL2501Exploratory Data Analytics with R lab0021
    BTCI2301Internship – I will be Evaluated in V Sem
    TOTAL212422
  • Value Added Courses
    Course CodeCourse Name
    BTCA0001Getting Started with Google Cloud Learning Path
    BTCA0002Fundamentals of Data Analytics
    BTCA0003Introduction to Blockchain Technology
    BTCA0004Oracle Cloud Infrastructure Architect
    V – Semester
    Course CodeCourse NamePeriods
    per week
    Credits
    LTP
    BTCT3501Full Stack Web Development3003
    BTCT3301Computer Networks3003
    BTCT3502Data Warehousing and Mining3003
    BTCT3401Faculty Elective-I3003
    BTCT3601Program Elective-I3003
    BTCM3501MOOC – I0003
    BTCL3301Full Stack Web Development Lab0021
    BTCL3501Data Warehousing and Mining Lab0021
    BTCI3301Internship – I Evaluation0042
    TOTAL150822
    Faculty Elective -IProgram Elective -I
    Course
    Code
    Course NameCourse
    Code
    Course Name
    BTCT3401aObject Oriented Analysis and DesignBTCT3601aSoftware Testing
    Methodologies
    BTCT3401bSoftware EngineeringBTCT3601bDistributed Computing
    BTCT3401cArtificial IntelligenceBTCT3601cAdvanced Java
    Programming
    BTCT3401dComputer Organisation and
    Architecture
    BTCT3601dNetwork Security
    BTCT3401eSoftware EngineeringBTCT3601eDatabase Security
    BTCT3401fAdvanced Data Structures
    BTCT3401gData Warehousing and Mining
    BTCT3401hMachine Learning
    BTCT3401iDifferential Equations and Vector
    Calculus
    BTCT3401jNumerical Methods for Engineers
    BTCT3401kMathematical Foundations of Cyber
    Security
    BTCT3401lInformation Retrieval Systems
    BTCT3401mCryptography and Network security
    BTCT3401nPrinciples of Programming Languages
    BTCT3401oUnix and Shell Programming
    BTCT3401pIntroduction to Psychology
    BTCT3401qIndustry 4.O
    BTCT3401rComputer Vision
  • Value Added Courses
    Course CodeCourse Name
    BTCA0005Database Engineer Learning Path
    BTCA0006Big Data Foundation Course
    BTCA0007Programming Basics for Blockchain Engineers
    BTCA0008Oracle Cloud Security Administrator
    VI – Semester
    Course CodeCourse NamePeriods
    per week
    Credits
    LTP
    BTCT3302Automata and Compiler Design3104
    BTCT3503Cloud Computing3003
    BTCT3402Faculty Elective -II3003
    BTCT3602Program Elective – II3003
    BTCT3603Program Elective – III3003
    BTCM3502MOOC-II0003
    BTCL3502Android Application Development Lab0021
    BTCL3503Cloud Computing Lab0021
    Internship – II will be Evaluated in VII Sem
    TOTAL151421
    Faculty Elective -IIProgram Elective -II
    Course
    Code
    Course NameCourse CodeCourse Name
    BTCT3402aDesign PattersBTCT3602aDeep Learning
    BTCT3402bCyber SecurityBTCT3602bIntrusion Detection System
    BTCT3402cSoftware Project ManagementBTCT3602cInternetworking with TCP/ IP
    BTCT3402dLinux ProgrammingBTCT3602dDigital Signal Processing
    BTCT3402eCloud ComputingBTCT3602eDatabase Administration
    BTCT3402fMobile ComputingProgram Elective -III
    BTCT3402gImage ProcessingBTCT3603aSoftware Project Management
    BTCT3402hDeep LearningBTCT3603bHigh Performance Computing
    BTCT3402iE-CommerceBTCT3603cMERN Technologies
    BTCT3402jBlock Chain TechnologyBTCT3603dCyber Security
    BTCT3402kMathematical Foundations of Data
    Science
    BTCT3603eSoftware Requirements
    Management
    BTCT3402lTransforms and Boundary Value
    Problems
    BTCT3402mOptimization Techniques
    BTCT3402nInformation Security
    BTCT3402oEthical Hacking
    BTCT3402pInternet of Things
    BTCT3402qEmbedded Systems
    BTCT3402rGreen Computing
    BTCT3402sCloud Security
    BTCT3402tDevNet
    BTCT3402uAdvanced Computer Networks
    BTCT3402vNetwork Security
    BTCT3402wFault Tolerant Systems
    BTCT3402xComputational Intelligence
    BTCT3402yData Analytics with Tableau
  • Value Added Courses
    Course CodeCourse Name
    BTCA0009Network Engineer Learning Path
    BTCA0010BDA Foundation
    BTCA0011Blockchain Essentials
    BTCA0012Oracle Cloud Operations Engineer
    VII – Semester
    Course CodeCourse NamePeriods
    per week
    Credits
    LTP
    BTCT4501Big Data Analytics3003
    BTCT4502Internet of Things3003
    BTCT4601Program Elective – IV3003
    BTCT4602Program Elective – V3003
    BTCM4501MOOC-III0003
    BTCP4301Mini Project0021
    BTCL4501Big data Analytics Lab0021
    BTCL4502Internet of Things Lab0021
    BTCI4301Internship-II Evaluation0042
    TOTAL1201020
    Program Elective -IVProgram Elective -V
    Course
    Code
    Course NameCourse
    Code
    Course Name
    BTCT4601aAugmented & Virtual RealityBTCT4602aMobile Computing
    BTCT4601bBlock Chain TechnologyBTCT4602bSecured Software Engineering
    BTCT4601cNatural language ProcessingBTCT4602cHands on DevOps
    BTCT4601dNo SQL DataBasesBTCT4602dGame Programming
    BTCT4601eSoft ComputingBTCT4602eOperating System Security
  • Value Added Courses
    Course CodeCourse Name
    BTCA0013Cloud Developer Learning Path
    BTCA0014Big Data Technology
    BTCA0015Certified Blockchain Developer

     

    VIII – Semester
    Course CodeCourse NamePeriods
    per week
    Credits
    LTP
    BTCP4302Project Work002412
    BTCV4301Comprehensive Viva-Voce0021
    TOTAL002613

PROGRAMME FEE AND SCHOLARSHIPS

One-Time FeeAdmission Fee₹ 7,000
1st YearTuition Fee + Annual Recurring Fee₹ 2,20,000 + ₹ 13,000
2nd YearTuition Fee + Annual Recurring Fee₹ 2,20,000 + ₹ 13,000
3rd YearTuition Fee + Annual Recurring Fee₹ 2,20,000 + ₹ 13,000
4th YearTuition Fee + Annual Recurring Fee₹ 2,20,000 + ₹ 13,000
Total Programme Fee (4 Years)₹ 9,39,000

Scholarship is available for eligible students

Eligibility

Candidates must secure 50% in Physics, Chemistry and Mathematics of the 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 Year12Students 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 graduates can explore the employment opportunities in various public and private sectors. They mostly acquire the following positions:

Students of Btech CSE
  • Big Data Engineer
  • Cloud Engineer
  • Data Scientist
  • Database Administrator
  • Full Stack Developer
  • DevOps Engineer
  • Game Developer
  • Mobile App. Developer
  • Web Developer
  • Software Developer

FAQs

  • Is B.Tech. CSE good? + -

    Yes, a B.Tech. in Computer Science Engineering is an excellent career choice. It has huge demands in the various sectors of industry. After completing the course, you will have an opportunity to work as an AI/ML engineer, software developer, data analyst, data scientist, cybersecurity expert, cloud engineer, blockchain developer, etc.

  • Yes, you can. To apply for a B.Tech. programme, the candidate must meet these eligibility criteria:

    • Class 12th from a recognised board with at least 50% marks.
    • Must have Physics, Chemistry and Mathematics as major subjects in class 12.
  • Since both B.Tech. & BCA programmes are associated with computer science, it is wrong to say one is better than the other. The choice of the course depends on your career goals and aspirations. B.Tech. is a more comprehensive and detailed course that primarily has an engineering-oriented approach, while BCA is more focused on computer applications. Always choose a course that suits your future goals and interests.

  • Your professional goals and interests will determine whether you pursue a B.Tech. in Computer Science Engineering (CSE) or a B.Tech. in Information Technology (IT). CSE usually provides greater prospects in areas like AI, ML, and software development, leading to possibly better pay, whereas IT focuses on practical application and infrastructure management.

  • B.Tech. CSE is generally easier than other engineering branches. However, it requires significant effort because the course includes mathematics, logical thinking and programming. The initial two years, with foundational subjects like mathematics and science, often require more effort. It is a challenging but achievable course that requires constant effort and patience.

  • Absolutely, a B.Tech. CSE (Computer Science and Engineering) is considered a very valuable and relevant degree. Considering the increasing role of AI/ML, growing use of data in decision-making, the world moving towards digitalisation and growing concerns of cybersecurity, the future scope of B.Tech. CSE is extremely bright.

  • Yes, a B.Tech. CSE is in great demand, both in India and internationally. This is due to a growing dependence on technology in numerous businesses, which has resulted in an increasing demand for qualified individuals in software development, data science, and other related disciplines.

  • The ‘best course’ depends on your individual interests, career goals, future aspirations, and job market demand. However, there are some B.Tech. courses, like B.Tech. CSE, which has a huge demand in the job market. Apart from this, B.Tech. IT, B.Tech. ECE, B.Tech. AI and B.Tech. EE also offer a lucrative career scope.

  • A B.Tech. in Computer Science (CSE) provides a diverse and in-demand career path in the IT and technology sectors. Graduates can pursue careers in a variety of fields, including software development, data analysis, cybersecurity, and AI/ML. The scope also includes employment in research, academia, and even entrepreneurship.