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M.Tech. Programmes

DEGREE PROGRAMMES M.Tech. Software Engineering

Career progression in the software industry calls for learning a full stack of multiple technologies, acquiring an ability to architect high impact solutions, envision & design great new products, solve complex problems and manage cross functional collaborations. It also entails an understanding of several new digital technologies to integrate capabilities and features that deliver the best value to users and customers.

M.Tech. in Software Engineering from BITS Pilani is a unique work integrated learning programme for working professionals that covers a full stack of technologies and competencies required to accelerate in the software industry today. A comprehensive curriculum, with extensive emphasis on experiential learning using remote labs and cloud labs and a flexible education methodology that enables working professionals to acquire a prestigious post graduate engineering degree while pursuing their careers, the M.Tech Software Engineering is just the right programme for career growth in the software industry.

Download Brochure

  • Programme Highlights
  • UGC Approval
  • Programme Curriculum
  • Learning Methodology
  • Eligibility Criteria
  • Fee Structure
  • How to Apply
Programme Highlights
  • The programme is of four semesters, with online classes conducted by BITS Pilani faculty over weekends through live online sessions.

  • Extensive use of Cloud-based virtual labs and Remote labs to give hands-on access to tools and platforms such as Jenkins, Docker, GitHub, SonarQube, Selenium, Tomcat, Maven, Open Project, Gantt Project and WireShark, Java, Python, Prolog, Lisp, Selenium Web driver, Python Ecosystem – NumPy, SciPy, Pandas, scikit-learn, MatplotLib; Searborn, Keras, NLTK, SQLite and pgmpy, Eclipse, Weka, Microsoft Power BI, TensorFlow, Tableau and Anaconda Navigator, EdgecloudSim and IoTSimEdge, Apache Hadoop, Apache Storm, Apache Spark, Apache Kafka, MongoDB, CockroachDB and MPI.

  • The dissertation or project work in the final semester allows students to apply concepts and techniques learned during the programme to real-world situations.

  • The programme entails a Continuous Evaluation System that assesses the learners, over convenient and regular intervals. Such a system provides timely and frequent feedbacks and helps busy working professionals to stay on track with the programme.

  • The education delivery methodology is a blend of classroom and experiential learning. Experiential learning consists of lab exercises, assignments, case studies and work-integrated activities.

  • Participants who successfully complete the programme will become members of the prestigious global community of BITS Pilani Alumni.

UGC Approval

BITS Pilani is an Institution of Eminence under UGC (Institution of Eminence Deemed to be Universities) Regulations, 2017. The Work Integrated Learning Programmes (WILP) of BITS Pilani constitutes a unique set of educational offerings for working professionals. WILP are an extension of programmes offered at the BITS Pilani Campuses and are comparable to our regular programmes both in terms of unit/credit requirements as well as academic rigour. In addition, it capitalises and further builds on practical experience of students through high degree of integration, which results not only in upgradation of knowledge, but also in up skilling, and productivity increase. The programme may lead to award of degree, diploma, and certificate in science, technology/engineering, management, and humanities and social sciences. On the recommendation of the Empowered Expert Committee, UGC in its 548th Meeting held on 09.09.20 has approved the continued offering of BITS Pilani’s Work Integrated Learning programmes.

Programme Curriculum

First semester

  • Software Architectures

  • Cloud Computing

  • Agile Software Processes

  • Elective 1

Second Semester

  • Software Product Management

  • Software Testing Methodologies

  • Elective 2

  • Elective 3

Third Semester

  • Elective 4

  • Elective 5

  • Elective 6

  • Elective 7

Fourth Semester

  • Dissertation

Elective

  • Data Visualization

  • Data Mining

  • Artificial Intelligence

  • Object Oriented Analysis and Design

  • Introduction to DevOps

  • Data Warehousing

  • Embedded System Design

  • Database Design & Applications

  • Data Structures & Algorithm Design

  • Big Data Systems

  • Cyber Physical Systems

  • Service Oriented Computing

  • Usability Engineering

  • Secure Software Engineer

 

  • Applied Machine Learning

  • Blockchain Technologies & Systems

  • Scalable Services

  • Cross Platform Application Development

  • Edge Computing

  • Open Source Software Engineering

  • Middleware Technologies

  • Software Project Managemen

  • Hardware Software Co-Design

  • Software Quality Management

  • Cyber Security

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For more information on programme curriculum download the programme brochure

Electives finally offered will be at the discretion of the BITS Pilani, and will be decided in consultation with HCL. Offered electives will be made available to enrolled students at the beginning of each semester.

Learning Methodology

ATTEND ONLINE LECTURES OVER WEEKENDS

  • Lectures are conducted live via online classes. These lectures can be attended via the internet using a computer from any location. These online classrooms offer similar levels of interactivity as regular classrooms at the BITS Pilani campus.

  • The class schedule is announced within 1 week of completion of the admission process.

  • The online lectures are conducted usually over weekends for a total of 7-8 hours per week. If you miss a lecture, you can also access the recorded lecture on the internet.

DIGITAL LEARNING

Learners can access engaging learning material at their own pace which includes recorded lectures from BITS Pilani faculty members, course handouts and recorded lab content where applicable.

EXPERIENTIAL LEARNING

The programme emphasizes on Experiential Learning that allows learners to apply concepts learnt in the classroom in simulated, and real work situations. This is achieved through 3 lab setups. Apart from these, AWS is also extensively used for experiments on Scalable Services.

  • Cloud based virtual lab hosts Dev-Ops tool chain, languages and programming platforms for Full Stack engineering and other simulators:

    • Tools : Jenkins, Docker, GitHub, SonarQube, Selenium, Tomcat, Maven, Open Project, Gantt Project and WireShark

    • Languages and Library: Java, Python, Prolog, Lisp, Selenium Web driver, Python Ecosystem – NumPy, SciPy, Pandas, scikit-learn, MatplotLib; Searborn, Keras, NLTK, SQLite and pgmpy

    • Programming Platforms: Eclipse, Weka, Microsoft Power BI, TensorFlow, Tableau and Anaconda Navigator

    • Simulators: EdgecloudSim and IoTSimEdge

  • Remote Lab facility caters to the needs of resource intensive requirements of Big Data Analytics applications with the following platforms:

    • Apache Hadoop

    • Apache Storm

    • Apache Spark

    • Apache Kafka

    • MongoDB

    • CockroachDB

    • MPI

  • Remote Lab facility caters to the needs of Embedded Systems and supports the following:

    • Hardware / Software tools: MultiCore STM32 microcontroller based development boards.

    • Simulation tools: Tossim, Cheddar and Keil.

  • Case Studies and Assignments: Carefully chosen real-world cases & assignments are both discussed and used as problem-solving exercises during the programme.

  • Dissertation/ Project Work: The fourth semester offers an opportunity for learners to apply their knowledge gained during the programme to a real-world like complex project. The learner is expected to demonstrate understanding of vital principles learnt across semesters and their ability to successfully apply these concepts.

CONTINUOUS ASSESSMENT

Continuous Assessment includes graded Assignments/ Quizzes, Mid-semester exam, and Comprehensive Exam.

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Eligibility Criteria

The minimum eligibility to apply: Employed professionals holding B. Tech., B.E, M.Sc., MCA, or equivalent in relevant disciplines with at least 60% aggregate marks and minimum two years of relevant work experience within HCL are eligible to apply.

Fee Structure

The following fees schedule is applicable for candidates seeking new admission during the academic year 2020-21

  • Application Fees (one time) : INR 1,500

  • Admission Fees (one time) : INR 16,500

  • Semester Fees (per semester) : INR 55,000

  • The one-time Application Fee is to be paid at the time of submitting the Application Form through the Online Application Centre.

  • Admission Fee (one-time) and Semester Fee (for the First Semester) are to be paid together once admission is offered to the candidate. Thus, a candidate who has been offered admission will have to pay Rs. 71,500/-. You may choose to make the payment using Net banking/ Debit Card/ Credit Card through the Online Application Centre.

  • Semester Fee for subsequent semesters will only be payable later, i.e. at the beginning of those respective semesters.

  • Any candidate who desires to discontinue from the programme after confirmation of admission & registration for the courses specified in the admit offer letter will forfeit the total amount of fees paid.

  • All the above fees are non-refundable.

How to Apply
  • Click here to visit the Online Application Center. Create your login at the Online Application Center by entering your official HCL Email ID only and create a password of your choice. Once your login has been created, you can anytime access the Online Application Center using your official email ID and password.

  • Begin by clicking on Step 1 - ‘Fill/ Edit and Submit Application Form’. This will enable you to select the programme of your choice. After you have chosen your programme, you will be asked to fill your details in an online form. You must fill all details and press ‘Submit’ button given at the bottom of the form.

  • Now, click on 'Pay Application Fee’ to pay INR 1,500/- using Netbanking/ Debit Card/ Credit Card

  • Finally, click on 'Upload & Submit All Required Documents’. This will allow you to upload one-by-one all the mandatory supporting documents such academic certificates and transcripts, photograph, etc. and complete the application process. Acceptable file formats for uploading these documents are .DOC, .DOCX, .PDF, .ZIP and .JPEG

  • Upon receipt of your Application Form and all other enclosures, the Admissions Cell will scrutinise them for completeness, accuracy and eligibility.

  • Admission Cell will intimate selected candidates by email within two weeks of submission of application with all supporting documents. The selection status can also be checked by logging in to the Online Application Centre.