Integ. M.Tech + Ph.D. CSE

• Curriculum Details

  School of Computer Science Engineering and Technology has developed a comprehensive curriculum for the 5 Year Integrated MTech+PhD programmes that equips the students with skills on complex problem solving, design of computing systems, critical thinking, empirical and quantitative analysis, communication, teamwork, social & personal responsibility.

  Program Core Courses: The core courses build a solid foundation of advanced concepts on data structures, algorithms, network systems, operating systems, software engineering, databases and their practical skills that are essential for technology building and implementation.

  1. Life Skills: Life skills is offered in the 1st semester to cultivate the lifelong learning skills.
  2. Humanity: It consists of research practices, seminar, and ethics course.
  3. Entrepreneurship: A course on entrepreneurship is offered to inculcate the entrepreneurial skills amongst the students

• Specialisations

  Every Specialisation comprises two core courses and three elective courses. It also has a specialisation-oriented capstone Course and an Internship. Specialisations are chosen at the time of admissions.

  1. Specialisation Core Courses: Students are offered two specialisation core courses.
  2. Specialisation Electives: Students must choose three specialisation electives.

• Artificial Intelligence

  The CEOs and CXOs of NVIDIA, Aindra, Here Tech, Amazon, and other academicians have contributed to the curriculum design of the specialisation. The specialisation electives offered under AI are Cognitive Modelling, Advanced Computer Vision and Video Analytics, Reinforcement Learning, Image and Video Processing, and Natural Language Processing. These courses match the best of international standards in AI specialisation. The other high point is the arrangement the University has reached with NVIDIA, SAP, Hitachi and Times Internet to enable students to work on cutting-edge projects.

• Blockchain

  The curriculum for Blockchain specialisation has been developed in consultation with CEOs and CXOs of BankchainAsset.com, Digiledge, besides other subject matter experts. The specialisation electives offered as part of the B.Tech syllabus include Blockchain Technologies, Smart Contracts and Solidity Programming, Digital Currencies and Blockchain, Modern Cryptography, among others.

• Cyber Security

  With increased dependency on online transactions and other social activities, there is now high demand for a robust Cyber Security framework. Keeping that in mind, the Cyber Security curriculum has been designed by the CEOs and CXOs of the Data Security Council of India (DSCI), QoS Technologies, IBM, and other researchers. The courseware includes topics on Cyber Security with Blockchain, Malware Analysis for Mobile Devices, Security and Privacy for Big Data Analytics, Penetration Testing and Ethical Hacking, among others. Also, to have students work on cutting-edge projects, the University has tied-up with DSCI, Fortinet, CompTIA and CISCO.

• Data Science

  Data scientists play a key role in the working of smart cities, automation industry, BFSI and Fintech. Given the importance of Data Science, Bennett University has put together a curriculum with the help of CEOs and CXOs of Microsoft, Google, TCS, and other researchers. The curriculum includes elective courses on Structural Equation Modelling; Security and Privacy for Big Data Analytics; Data Visualisation; Big Data Analytics and Business Intelligence; and Satellite Data Analytics.

• Electives

  General Elective: Students are offered one general elective, the purpose of which is to give them the flexibility to opt for a course of other specialisations.

• Honours

  An optional Honours is a pack of 4 courses that provides additional knowledge of the same or other CSE specialisations. Honours offer 12 additional credits to students.

• Projects

  Project Based Learning (PBL) (6 credits)–: In the 1st and 2nd semesters, the students must take up a specialisation and an Industrial Project or R&D project.

• Internships

  Internships/Thesis Dissertation (20 Credits)– Two internships are part of the curriculum. The first internship is available in the 3rd semester, which can be an alternative of the capstone project. Capstone Design, and Capstone Project are cutting edge courses to prepare the students for industry, and further research. The second internship is done in the final semester, the outcome of which is a thesis dissertation report. There is also one flexible option for the students to spend one full year in an Industry internship in the final year of study.

• Program Outcome

  1. Students are expected to apply mathematical foundations, algorithmic principles and computer science theory in modelling, design and conduct of experiments as well as in data interpretation and analysis.
  2. Students are expected to develop an ability to identify, formulate and solve real engineering problems and understand the global impact of engineering solutions.
  3. Students will acquire the ability to engineer requirement/system to carry out systems integration.
  4. Students will acquire the ability to explore the latest technology and its applications.
  5. Students will build the capability to deploy appropriate technology paradigm for given tasks.
  6. Students will acquire the ability to build convincing technical cases for approval / demonstration of initial ideas by conducting experiments and forming examples.

• Skills

  Skills Students will Learn: Some of the advanced skills CSE students will acquire:

  1. Foundational Skills in Core areas of Computing
  2. Specialised Skills in your chosen area of specialization
  3. Project development and Coding Skills
  4. Strong sense of professionalism
  5. Leadership
  6. Soft skill
  7. Ability to negotiate a group discussions
  8. Public speaking

  The program will have:

  1. Personal interview workshops
  2. CV and cover letter workshops
  3. Networking events
  4. Social-media workshops
  5. Corporate & professional mentoring sessions for the benefit of students through our career cell.

Labs

• Dell-EMC – Lab

  The lab has 32 Dell machines with the latest configuration. This is further enriched with the support of Dell-EMC. (Dell supports in faculty training, collaborative projects, and exclusive workshops.)

  Specific areas of operation include Information Storage and Management (“ISM”), Cloud Infrastructure Services (“CIS”), Data Science and Big Data Analytics (“DSBDA”) and Data Protection and Management (“DPM”). These help the students compete for jobs in Fortune 500 companies.

  (Computer configuration: Dell OptiPlex 5050MT XCTO, Intel i5 processor, 8Gb DDR4 RAM.)

• Bennett - NVIDIA Centre for Artificial Intelligence

  The lab comprises 30 node top-end HP Z440 workstations. It is the best configuration for executing applications while dealing with zeta scale data. Powerful graphics cards from NVIDIA and lightening-fast data transfers with thunderbolt technologies make for a beast of a system.

  Researchers and scholars use this lab for AI applications in healthcare, security, cognition, text, image, and video analysis.

  The NVIDIA DGX-1 V100 is the first system built with groundbreaking NVIDIA Pascal™-powered Tesla® V100 accelerators. It is NVIDIA NVLink™ implementation that delivers a massive increase in GPU memory capacity. It is the world’s first purpose-built system for deep learning and accelerated analytics, delivering performance equal to 500 conventional servers. NVIDIA DGX-1 software stack includes major deep learning frameworks, the NVIDIA DIGITS™ GPU training system, the NVIDIA Deep Learning SDK (e.g. CuDNN, NCCL), NVIDIA Docker, GPU drivers, and NVIDIA CUDA® for rapidly designing deep neural networks (DNN). It is the ideal stack for accelerating popular analytics and visualisation software.

  The powerful system includes access to cloud management services for container creation and deployment, system updates, and an application repository. The combination of these software capabilities running on Pascal-powered Tesla GPUs allows applications to run 12X faster than with previous GPU-accelerated solutions.

  Due to the partnership with NVIDIA, students have access to Certified Expert Instructors, Worldwide Workshops, Online Courses, Industry leaders, Onsite Training, NVIDIA Partner Network, OEMs and start-ups and Deep Learning Teaching Kit.

• Apple iMac Design & Multi-Media Lab

  It is a futuristic 32 node high-end lab with state-of-the-art Apple machines. As per international standards, the 27-inch monitors, using the best retina display, are useful for any visual effect with immersive experience. Processor Speed, Magic Mouse and Magic keyboard make the experience unforgettable.

  The lab is used for running courses that require high-end graphics capabilities including 3D graphics and video editing capabilities. It is specifically used for activities and projects related to gaming, design, multimedia, modern art, and media production. High configuration of the machines help run resource-hungry applications related to research requiring large scale simulations and experimentation.

• Programming Lab

  The Lab is used to impart skills of Programming/Coding to first-year students.

  Computer configuration: HP ProDesk Micro tower PC, Inter®core™ 9500 processor,8Gb DDR4 RAM.

• Information Management System Lab

  The Lab takes care of the curricular requirements in the domain of Information Management, Data Base Management systems and Other Business processing applications.

  Computer configuration: Acer, Intel®core™ i5 6400,64 Bit processor,8Gb RAM.

• Cloud Computing Lab

  The Lab takes care of the curricular requirements for Cloud Computing and applications.

• Drone Labs

  The Drone Laboratory facilitates the development of various drone technologies and sensing equipment which could be applied to the drones using DJI Mavic AIR QUADCOPTER DRONE, Veerobot F450 AIR QUADCOPTER DRONE and such other.

  The laboratory is equipped with various drone platforms: from quad/hexacopters, to pipeline crawlers, to remotely operated underwater vehicles.

• Computer Network and Cyber Security Lab

  The Lab takes care of the curricular requirements in the domain of Computer Network and Cyber Security Lab on Simulator Tools, including hand on experience with Routers and latest CISCO Switches.

  Students use different wireless network components and features to provide network security and to set Firewall Security in windows/ Linux OS.

• AR and VR Gaming

  The Lab takes care of the curricular requirements in the domain of AR and VR Gaming Labs.

  Our Virtual Reality, Augmented Reality, and Media Lab contain some of the most cutting-edge head-mounted displays available today. Students have access to the technology for the development of VR and AR software using the Oculus Go Standalone Virtual Reality Headset, and many others.

• Big Data and Machine Learning Lab

  The Lab takes care of the curricular requirements in the domain of Big Data Machine Learning and Artificial Intelligence to analyse large datasets, identify trends, and develop predictive models to solve problems.

  Students build and train deep neural networks, build a CNN and apply it to detection and recognition tasks, train test sets, analyse variance for DL applications, use standard techniques and optimisation algorithms, and build neural networks in TensorFlow. Students also build and train RNNs, work with NLP and Word Embeddings, and use HuggingFace tokenisers and transformer models to perform NER.