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:. Remote Lab facility caters to the needs of resource intensive requirements of Big Data Analytics applications with the following platforms:.
Minimum eligibility to apply: Employed professionals holding B Tech. The following fees schedule is applicable for candidates seeking new admission during the academic year 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. Semester Fee for subsequent semesters will only be payable later, i. Click here to visit the Online Application Center. Once your login has been created, you can anytime access the Online Application Center using your official email ID and password. 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. This will allow you to upload one-by-one all the mandatory supporting documents such academic certificates and transcripts, photograph, etc.
Acceptable file formats for uploading these documents are. ZIP and. 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.
Home M. Join the league of Digital Tech specialists. Candidates should ideally choose the immediate supervisor or another senior person from the same organisation. In case a suitable mentor is not available in the same organisation, a candidate could approach a senior person in another organisation who has the required qualifications.
Candidates applying to B. Candidates applying to M. Phil programme should choose a Mentor who is an employed professional with:. Venkiteswaran obtained his Ph. With over 23 years of teaching experience, he teaches courses in Mathematics and Computer Science.
His main research interests are in the area of numerical solution of partial differential equations in high dimensions, Monte Carlo and quasi-Monte Carlo methods.
Anita has 14 years of industry experience across Motorola and Lucent Technologies and has worked extensively on broadband and wireless technologies, specifically in Layer 2 and Layer 3 protocols. In various roles in these organisations, she has led technical initiatives, generated patents and published papers in internal symposiums.
She did her B. She teaches courses in the areas of networking, IoT and machine learning. Lucy J. Gudino received her B. She has over 24 years of teaching experience in the field of Electronics and Communications, and Computer Science. He did his M. He has published about 50 research papers in various national and international journals.
Two students have been awarded PhD under his guidance. In addition to 25 years of teaching experience, he also worked as Group 1 gazetted officer State Civil Services in the Ministry of Finance, Government of A. She has over 17 years of experience in academics and has served in varied roles. At the onset of her career, she got an opportunity to work for an upcoming University, where she was assigned responsibilities to coordinate, design and deliver newer courses every semester, year after year.
This gave her immense exposure to curriculum design structures, content development procedures, work processes and associated tools and technologies prevalent in academics domain. She has been actively involved in industry engagement, programme and curriculum design, content development and delivery of course content. She completed her Ph. Other areas of interest include Software Engineering, Software Testing and Quality Management, Object Oriented Systems and related technologies and software engineering education.
Raghuraman received his B. E degree in Mechanical Engineering Specialization in Refrigeration and Air conditioning from Bharathiar university in and respectively. Raghuraman had conducted certification program on Pumps, fans and Blowers besides functioning as member of team which delivered certification program on Instrumentation, control systems, Mechanical design elements such as Bearings, Shafts, and Fasteners.
His field of interest includes Alternate Refrigerants, Energy efficiency, control systems and new product development. He did his B. He has completed seven years as Assistant Professor in the department of computer science and information security in BITS. He has been actively involved in industry engagement, programme and content design, design of lab capsules and delivery of course content.
He has a total experience of 22 years. E in Computer Science and Engg. Tech in Computer Network and Engg. Currently, he is a Ph. His research interests are in Cloud Computing and IoT. He is based out of Hyderabad. He has around 20 years of work experience in IT and education sectors primarily in the BFSI domain, including 7 years of entrepreneurial experience. His current research interest lies in application of machine learning techniques to solving finance and business problems.
He is a continuous learner constantly motivated by Numbers, Calculations Mathematics and Statistics , Data Analysis and model building. He is passionate teacher and had successfully taught various hands on practical courses in finance, analytics and actuarial science using EXCEL, R, SPSS, and Python at various premier institutions and organizations across the country as a guest faculty and a corporate trainer.
At BITS Pilani, he teaches courses in the areas of financial modelling and analytics, risk modelling, data science and statistics.
He always enjoys designing new courses, and mentoring the students. Pravin leads certificate programme committee as well as Full Stack Engineering programme. He teaches courses related to the Data Science and Software Engineering domain, and is also a key faculty in the M.
Tech from Kerala University and M. Tech from VTU, Karnataka. Swapna received her B. She has over 14 years of teaching experience in the field of Electronics and Communications. She teaches courses in the areas of electronics, control systems, networking and IoT. She received her B. She has over 15 years of experience in academics. She has been actively involved in development of digitized content and delivery of course content. Her research interests are in the fields of Graphs, Computer vision and computational Intelligence.
She teaches courses in the area of Data Technologies and Intelligence domain. She is based out of the Bangalore location. Akanksha has worked for around 3 years as a Business Technology Analyst at Deloitte. She teaches courses in the area of software architecture, databases, data mining, and statistics. She has 7years of teaching and industry experience. Tech and M. He had done his schooling from a missionary school, then higher secondary from Kendriya Vidyalaya in the year He had taught various courses on Algorithms, and Applied Mathematics courses.
He has been actively involved in industry engagement, content development and delivery of course content. He is very passionate about teaching and getting his students inspired in pursing their educational and career goals. His main research interests are in the area of Networks and Security and Educational Research. He teaches courses in the area of Networking, Cyber Security, Software Engineering and related technologies.
She has been with BITS pilani since Her academics and research interest are in the area of networking and datascience. Apart from effective classroom teaching, she has held various roles and responsibilities including curriculum development, departmental committee works, students counselling, placement training, and recruitment of faculty in various colleges.
She holds an M. Other area of interest includes Full stack software development, cloud computing and Devops. Ramakrishna has a Ph. He is passionate about teaching and research. His research has been published in Information Systems Management Journal, and several international conferences.
She has pursued her M. Tech from College of Engineering Pune. He has been actively involved in industry engagement, content development, and delivery of course content He holds an M. He teaches courses in the area of Algorithms, Artificial Intelligence. Another area of interest includes machine learning. He has more than 8 years of teaching and industry experience.
He teaches courses related to Database Technology and Programming Methods. He has 18 years of teaching experience. He teaches courses related to Electronics and Communication Engineering and his specialization is Microelectronics.
He has guided projects in the field of VLSI. He has been teaching working professionals in Indian IT organizations since Prior to his current position as faculty member, he has had over 35 years of experience in the IT industry in the design and delivery of products and services for global clients in Embedded Systems and Enterprise Software arena.
He is passionate about Science and Electronics and in his spare time loves to dirty his hands building physical models and run thought- experiments on paper when run out of resources. Krishna started his career with typing lines of Fortran code on a punch-card machine after graduating with M. Tech from Indian Institute of Science, Bangalore. She has more than 10 years of teaching and industry experience. Swarna Chaudhary has contributed towards designing digital content for Big Data Engineering Program in collaboration with Upgrad , Full Stack engineering certificate programme, and IDS Introduction to data science course.
Her research and teaching interests are in the domain of Machine Learning and Data Science. She has received excellent feedback for all the courses from her students and takes it to be her biggest driving force and source of satisfaction.
This programme is designed for working professionals. At the time of submitting the application, candidates must be employed in another organization. Professionals who are owners of a registered business are also eligible to apply.
He participated in organizing national and international conferences organized by EEE department at Pilani campus. Pawan shifted from on-campus to off campus programme of the Institute in He played a key role in establishing remote and virtual laboratories for students enrolled in various WILP programmes.
He teaches courses in the areas of VLSI Architecture, Reconfigurable computing, computer architectures and system specifications, modeling and co-design.
He has a passion to design and optimize computationally intensive signal processing algorithms for embedded systems and teach courses which require analytical and computational skills in the electrical engineering domain.
She did Ph. Computer Applications and M. She has published various papers in renowned international journals like Applied soft computing, Applied Intelligence, Pattern Recognition letters, Engineering applications of Artificial Intelligence.
This programme is designed for working professionals. At the time of submitting the application, candidates must be employed in another organization.
Professionals who are owners of a registered business are also eligible to apply. For detailed information, including academic background, work experience, etc. Upon successful completion of the programme, participants will receive a degree certificate from BITS Pilani. Each semester has a Mid-semester Exam and a Comprehensive Exam, which are conducted over weekends. Participants will need to appear in-person to take these exams at exams centers in the following locations: India Centers: Bangalore, Chennai, Coimbatore, Delhi, Goa, Hyderabad, Kolkata, Mumbai, Pilani, Pune International Centers: Dubai In case participants are unable to take an exam due to work-related commitments, there is also a provision of appearing for Make-up Exams.
Due to the ongoing pandemic, an option of taking exams online is also being offered. For details, please refer to the programme brochure. The programme provides high degree of interactivity between participants and the faculty members and programme instructors.
Further interaction with faculty members and peers is enabled through the e-learning portal, by using discussion forums and message boards. The programme features high usage of experiential learn components such as Simulations, Virtual Labs, and Remote Labs, in order to mimic the on-campus experience. Participants will be given access to portals, that will allow them to access both cloud-based labs, as well as Campus-based physical labs.
Using leading industry-recognised Software tools, Programming languages, and Simulation software, participants will be able to perform experiments and run simulations to advance their knowledge. For detailed information, please refer to the programme brochure. The programme is designed for working professionals, and participants are not required to travel to a BITS campus. However, certain programme offer Campus Immersion Modules such as workshops or seminars, which are highly recommended but not mandatory.
Software Systems Admissions will begin in April Download brochure. Home M. Software Systems. Admission begins April, Fees per semester INR 57, Download Brochure.
Programme Highlights M. 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. Contact-less and safe Online exams facility.
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. 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.
Software Architectures Elective 2 Elective 3 Elective 4. Elective 5 Elective 6 Elective 7 Elective 8. For detailed programme curriculum, download the brochure. Learning Methodology. Simulation tools: Tossim, Cheddar and Keil. Industry Talks The programme features live online sessions on some of the most exciting developments, and pressing issues faced by businesses in the technology space.
Some of the recent and upcoming sessions include: Sl. Both options are explained below: Online Examinations: Students choosing this option can take the examinations online from any location e.
Mode of Evaluation for Semester 4 Final Semester : During Semester 4, students will be required to register for a full semester Dissertation Project work. Fee Structure The following fees schedule is applicable for candidates seeking new admission during the academic year All the above fees are non-refundable. How to Apply Create your login at the Application Center by entering your unique Email id and create a password of your choice. Once your login has been created, you can anytime access the Online Application Center using your email id and password.
Once you have logged in, you will see a screen showing 4 essential steps to be completed to apply for the programme of your choice. 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. This will download a pdf copy of the application form on your computer. Take a printout of the downloaded Application Form and note down the Application Form Number displayed on the top-right corner of the first page. Phil programme should choose a Mentor who is an employedprofessional with: B. Batch Profile. Featured Faculty Dr. Venkiteswaran Dr.
Y V K Ravi Kumar. Gudino Dr. Anita Ramachandran. Anita Ramachandran Prof. Ritu Arora. Ritu Arora Dr. Rejesh N A. Rejesh N A Prof. Chandra Shekar R K. Chandra Shekar R K Prof. Pravin Y Pawar. Pravin Y Pawar Prof. Pradheep Kumar. Pradheep Kumar Dr. Nishit Narang. Nishit Narang Prof. Sugata Ghosal. Sugata Ghosal Prof. Saikishor Jangiti. Saikishor Jangiti Dr.
Swapna Kulkarni. Swapna Kulkarni Prof. Rekha Anandrao. Rekha Anandrao Prof. Rajavadhana Prof. Akanksha Bharadwaj. Akanksha Bharadwaj Prof. Vineet Garg. Vineet Garg Prof. Ankur Pachauri. Ankur Pachauri Prof. Mohammad Saleem Bagewadi. Mohammad Saleem Bagewadi Prof. Shekhar Rajagopalan. Shekhar Rajagopalan Prof. T V Rao. T V Rao Prof. Sonika Chandrakant Rathi. Sonika Chandrakant Rathi Prof. Krishnamurthy Bindumadhavan. Krishnamurthy Bindumadhavan Prof.
Chennupati Rakesh Prasanna.
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