DEGREE PROGRAMMES
Join the league of Digital Tech specialists
Join the league of Digital Tech specialists
With specialization in Data Analytics, Internet of Things, Embedded Systems, Security, Networks and Cloud
New-age digital technologies are transforming the world and spawning a massive demand for specialists in areas like Data Analytics, IoT, Embedded Systems, Security, Networks and Cloud, etc. While specialists in Data Analytics are powering organisations with transformative capacities to win in their businesses, the IoT and Embedded Systems specialists are revolutionising our lives and society. Massive growth in connectivity means a greater need for security specialists and huge connected infrastructure needs specialists in Network and Cloud.
M.Tech. Software Systems is a unique programme that enables working professionals to specialise in many new-age technology areas and be ready to transition into high demand careers. The programme enables the learners to specialize in some of the fastest-growing domains like Data Analytics, Internet of Things, Embedded Systems, Security, Networks and Cloud. A comprehensive curriculum, 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 Systems is just the right programme for career growth in the software industry.
M.Tech. Software Systems is a BITS Pilani Work Integrated Learning Programme (WILP). BITS Pilani Work Integrated Learning Programmes are UGC approved.
The programme is of four semesters, with online classes conducted mostly on weekends or after business hours. You can pursue the programme without any career break.
The programme offers a set of core courses and elective courses, allowing students to specialize in Data Analytics, Internet of Things, Embedded Systems, Security, Networks and Cloud.
The programme makes use of Languages, Platforms, and Libraries. These include NS2, Net-SNMP, WireSha, R, Python, Prolog, Lisp, RStudio, Weka, Microsoft Power BI, TensorFlow, Anaconda Navigator, Python Ecosystem – NumPy, SciPi, Pandas, scikit-learn, MatplotLib; Searborn, Keras, NLTK, pgmpy etc., Keil, CCS Studio, Tossim, Cheddar, Jenkins, GitHub, SonarQube, Selenium, Tomcat, Maven, Java, Eclipse, Code::Blocks, Android Studio, Jupyter Notebooks, Spyder, Multisim, CPU-OS Simulator, SQLite, MATLAB, , Gantt Project, Open Project and XAMPP.
The Dissertation (Project Work) in the final semester enables students to apply concepts and techniques learned during the programme.
The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such a system provides timely and frequent feedback and helps busy working professionals stay on course 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 an elite & global community of BITS Pilani Alumni
Option to submit fee using easy-EMI with 0% interest and 0 down payment
Classes are conducted by a pool of faculty members comprising of academicians from BITS Pilani, and guest faculty who are experienced industry professionals.
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
The programme offers specialisations in high-demand areas such as Data Analytics, Internet of Things, Embedded Systems, Security, Networks and Cloud.
First Semester
Data Structures & Algorithms Design
Database Design & Applications
Distributed Computing
Elective 1
Second Semester
Software Architectures
Elective 2
Elective 3
Elective 4
Third Semester
Elective 5
Elective 6
Elective 7
Elective 8
Fourth Semester
Dissertation
Electives
Artificial Intelligence
Computer Organization and Software Systems
Distributed Data Systems
Software Engineering and Management
Usability Engineering
Object-oriented Analysis & Design
Specialisation in Data Analytics
Participants who earn a specialisation in Data Analytics will learn how to apply principles behind modern Data Analytics techniques; apply statistical and machine learning methods to real data; evaluate their performance and effectively communicate the results; and build expertise in advanced Artificial Intelligence topics such as Deep Learning and Natural Language Processing
Pool of Electives
Advanced Statistical Techniques for Analytics
Applied Machine Learning
Metaheuristics for Optimization
Data Mining
Data Warehousing
Deep Learning
Information Retrieval
Mathematical Foundations For Data Science (Mandatory Course for Specialization)
Natural Language Processing
Specialisation in Internet of Things
Participants will build expertise in the building blocks of IoT technology and explore the vast spectrum of IoT applications; assess, select and customize technologies for IoT applications; connect the cyber world with the physical world of humans, automobiles and factories; integrate geographically distributed devices with diverse capabilities; design and implement IoT applications that manage big data
Pool of Electives
Embedded Systems Design (Mandatory Course for Specialization)
Cyber Physical Systems (Mandatory Course for Specialization)
Networked Embedded Applications
Cross Platform Application Development
Cloud Computing
Data Management for IoT
Stream Processing and Analytics
Embedded Network Security
Specialisation in Networks and Cloud
Participants will build expertise in how to design, and manage software and hardware that control digital networks; conceptualize and solve engineering problems concerning wireless and mobile networks effectively and arrive at the feasible optimal solution, individually and in teams; master formal techniques for network analysis, design and operate data centers; Network Security aspects, Storage Area Networks, Virtualizations, and Cloud Computing Concepts which have great scope and opportunities in the industry; apply advanced software engineering techniques (e.g., software-defined networks, containerization, etc.) to compute, improve and master the development of distributed networks.
Pool of Electives
Advanced Computer Networks
Cloud Computing (Mandatory Course for Specialization)
Computer Networks (Mandatory Course for Specialization)
Data Storage Technologies and Networks
Design and Operation of Data Centres
Edge Computing
Mobile Networks
Network Programming
Network Security
Software Defined Networks
Wireless and Mobile Communication
Middleware Technologies
Specialisation in Security
Participants will build expertise in the implementation of core software engineering principles and the best cybersecurity practices in terms of policies, models and mechanisms; gain knowledge about securing computer networks and systems; learn to examine secure software design and development practices in cybersecurity; understand the prevalent network and distributed system attacks; incorporate approaches for incident response and security risk management; understand the key concepts in domain-specific security.
Pool of Electives
Cyber Security (Mandatory Course for Specialization)
Cryptography
Network Security
Ethical Hacking
Identity and Access Management Technologies
Cyber Crimes, Forensics and Incident Handling
Cloud, IoT and Enterprise Security
Secure Software Engineering
Blockchain Technologies & Systems
AI and ML Techniques in Cybersecurity
Specialisation in Embedded Systems
Participants will gain expertise in key areas of Application (Domain) Specific System Design such as scope of a Processor (Embedded processors, Desktop systems, Servers, and Supercomputers), the target application (general-purpose versus domain-specific), the characteristics of the design objectives (Speed, Power consumption, Cost, Reliability, Availability, and Reconfigurability), and the measurement and analysis of resulting designs.
Pool of Electives
Embedded Middleware Design
Embedded System Design (Mandatory Course for Specialization)
Fault Tolerant Embedded System
Hardware Software Co-Design
Networked Embedded Applications
Parallel Embedded Architectures
Real Time Scheduling
Real Time Systems
Software for Embedded Systems
General Pool of Electives
Artificial Intelligence
Computer Organization and Software Systems
Distributed Data Systems
Software Engineering and Management
Usability Engineering
Object-oriented Analysis & Design
Electives can be chosen either from the General pool of electives or from across other pools of electives for Specialisations. Specialisations are optional. To earn a Specialization, a participant must select and successfully complete at least 5 courses from that Specialisation pool
For more information on programme curriculum download the programme brochure
Choice of Electives is made available to enrolled students at the beginning of each semester. A limited selection of Electives will be offered at the discretion of the Institute.
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 which includes recorded lectures from BITS Pilani faculty members, course handouts and recorded lab content where applicable.
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.
EXPERIENTIAL LEARNING LABS
The programme emphasises on Experiential Learning that allows learners to apply concepts learnt in the classroom in simulated, and real work situations. This is achieved through:
Simulation Tools, Platforms & Environments: Some or all of the following would be utilised across the programme.
Cloud based virtual lab which supports the following programming languages/tools/simulators:
Networks: NS2, Net-SNMP and WireShark
Data Analytics:
Languages: R, Python, Prolog and Lisp
Platforms: RStudio, Weka, Microsoft Power BI, TensorFlow and Anaconda Navigator
Others: Multisim, CPU-OS Simulator, SQLite, MATLAB, , Gantt Project, Open Project and XAMPP
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 IoT. It 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.
EXAMINATIONS & CONTINUOUS ASSESSMENT
Continuous Assessment includes graded Assignments/ Quizzes, Mid-semester exam, and Comprehensive Exam.
Eligibility Criteria
Employed professionals holding B.Tech., B.E., M.Sc., MCA or equivalent in relevant disciplines with at least 60% aggregate marks + Any full-time employee who has received the first appraisal rating of “Good Performance” or above in the last annual performance appraisal cycle are eligible to apply.
The above are only the minimum criteria to apply. The final decision to offer admission to an applicant rests with BITS Pilani which will be made based on an overall review of your application information.
It is strongly advised to refer and check HCL's policy details and other Eligibility Criteria of the programme before applying, as all fees are non-refundable.
Fee Structure
The following fees schedule is applicable for candidates seeking new admission during the academic year 2024-25
Application Fees (one time) : INR 1,500
Admission Fees (one time) : INR 16,500
Semester Fees (per semester) : INR 66,750
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. 83,250/-. You may choose to make the payment using Netbanking/ 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.
