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  • PGD-Computer Science Engineering

    Why PGDCSE at Bennett University

    ABOUT
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    About Post Graduate Diploma in Computer Science & Engineering (PGDCSE)

    The one-year Post Graduate Diploma in Computer Science & Engineering (PGDCSE) Program offers courses, such as core courses, specialisation core, specialisation electives, life skills, and project-based learning.

    • Duration 1 years
    • Specialisation 4
    • Credits 50
    • Start Date 15th July 2024
    • Curriculum Details

      The PGDCSE program has courses on critical thinking, technical skills, specialisation skills, empirical and quantitative analysis, communication and teamwork.
    • Program Core Course

      The Core courses teach and skill students in advanced concepts such as data structures, algorithms, network systems, operating systems, software engineering, and databases.

      Life Skills: A course on life skills is offered to cultivate lifelong learning skills in students.

      Humanity: The students also learn about ethics

      Entrepreneurship:A mandatory course on entrepreneurship is offered to inculcate the entrepreneurial skills.

    • Project Based Learning (PBL)

      Students must take up a specialisation and an Industrial or R&D project.

    Specialisations

    Every specialisation comprises two core courses and two elective courses. It also has a specialisation-oriented project that engages the students for project-based learning in the opted specialisation. Specialisations are chosen at the time of admission.

    specialisation Core Courses: Students are offered two specialisation core courses.

    specialisation Electives: Students must choose two 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.
    • 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 to understand the global impact of engineering solutions.
      3. Students are expected to learn latest technology and its applications.
      4. Students must build the capability to deploy appropriate technology for the given tasks.
      5. Students must be able to build a case for approval / demonstration of initial ideas by conducting experiments and forming examples.
    • Skills

      Advanced skills students will acquire:

      1. Strong sense of professionalism
      2. Leadership
      3. Soft skill
      4. Ability to negotiate group discussions
      5. Public speaking

      We often organize:

      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

      The lab consists of 32 Dell machines with the latest configuration. Moreover, it has the support of Dell-EMC. Dell provides support in faculty training, collaborative projects, and exclusive workshops.

      Specific areas of operation will include Information Storage and Management (“ISM”), Cloud Infrastructure Services (“CIS”), Data Science and Big Data Analytics (“DSBDA”) and Data Protection and Management (“DPM”). It will help the students to compete for the skills required by the fortune 500 companies.

      It incorporates information, resources, expertise, training, and knowledge in the field of (i) Information Storage and Management, (ii) Cloud Infrastructure Services, (iii) Data Protection and Management and (iv) Data Science and Big Data Analytics to enable Bennett University to disseminate the information and knowledge.

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

    • Bennett - NVIDIA Centre for Artificial Intelligence

      The Lab consists of 30 node Top-end HP Z440 Workstations. If you want to take your performance in computational processing to the next level, then this is the right choice. This is the right mix for executing your applications which are dealing with zeta scale data. Powerful graphics cards from NVIDIA and lightning-fast data transfers with thunderbolt technologies makes it a wonderful monster to work with. The lab gives you a world-class workstation experience that never slows you down. Our researchers and scholars are using this lab for AI applications in healthcare, security, cognition, text, image and video analysis. In the time to come, this centre will position itself as a leading centre of excellence for bringing a positive addition to the quality of life using AI.

      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. This is the world’s first purpose-built system for deep learning and accelerated analytics, delivering performance equal to 500 conventional servers. It comes fully integrated with hardware, deep learning software, development tools, and runs popular accelerated analytics applications. This means you can immediately shorten data processing time, visualize more data, accelerate deep learning frameworks, and design more sophisticated neural networks. 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’s the ideal stack for accelerating popular analytics and visualization software.

      This powerful system includes access to cloud management services for container creation and deployment, system updates, and an application repository. This combined software can run on Pascal-powered Tesla GPUs allowing applications to run 12X faster than with previous GPU-accelerated solutions. Due to our partnership with NVIDIA, we have access to Certified Expert Instructors, Worldwide Workshops, Online Courses, Epicenter of industry leaders, Onsite Training, Global Reach, NVIDIA Partner Network, OEMs and startups, Deep Learning Teaching Kit.

      The scope, capacity and potential of this are unlimited. Bennett is striving for cutting-edge research. It’s the ideal stack for accelerating popular analytics and visualization software. Access to cloud management services for container creation and deployment, system updates, and an application repository.

    • Apple iMac Design & Multi-Media

      It is a futuristic 32 node high-end lab with state-of-the-art Apple machines. As per the International Standards the 27-inch monitors are useful for any visual effects with immersive experience by using most colorful retina display. Processor Speed, Magic Mouse and Magic keyboard makes the experience unforgettable.

      Lab is for running courses which require high end graphics capabilities including 3D graphics and video editing capabilities. it will be specifically used for activities and projects related to gaming, design, multimedia, modern art and media production. High configuration of the machines will also help in running resource-hungry applications related to research requiring large scale simulations and experimentation.

      This Centre will work in multimedia design and research. This Centre will be made of Apple iMacs which have very high-end graphics and other components suitable for multimedia research. We will have 32 machines of high configuration to serve the objectives of this lab.

      Approximate Cost: 75 Lacs

      Alexa Voice Tech Lab

    • Programming Lab 10 in Numbers

      This Lab caters for imparting skills of Programming/Coding to First-Year Students. It has state of the art systems that are equipped with the requirements for programming instructions to be given to students.

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

    • Information Management System

      This Lab is for taking care of the curricular requirements of Information Management, Data Base Management systems and Other Business processing applications. It is equipped with relevant software and IT infrastructure to fulfil these requirements.

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

    • Cloud Computing

      This Lab is for taking care of the curricular requirements of Cloud Computing processing and applications. Students get hands-on practical experience through lab work for novel Cloud-Based Computer Laboratory (CBCL) solutions, including certifications like Microsoft Azure etc.

      It is equipped with relevant software and IT infrastructure to fulfil these requirements.

    • Drone Labs

      This Lab is for taking care of the curricular requirements in the domain of Drone base Lab, assembling Drones and implementing the applications.

      Our Drone Laboratory provides facilities for 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 many more different drones and technologies. Students use Jetson Nano Nvidia Development Kit, Raspberry Pi etc.

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

    • IoT and Robotics

      This Lab is for taking care of the curricular requirements of IoT and Robotics Lab, hands-on experience with our Robo NAO and implementing the applications with NAO V6 HUMANOID ROBOT.

      Our students build an Artificial Being (ABe), which, unlike humanoid robots, is a congregation of networked mobile robots emulating the various parts/organs of a body in this lab.

    • Computer Network and Cyber Security

      This Lab is for taking care of the curricular requirements of Computer Network and Cyber Security Lab on Simulator Tools, including Hardware hand on experience with Routers and the latest CISCO Switches.

      Students use different wireless network components and features providing network security and to set Firewall Security in windows/ Linux OS for implementing different types of vulnerabilities for hacking websites /Web Applications.

    • Data Structure

      This Lab is for taking care of the curricular requirements in the domain of Data Structure Labs.

      We provide the students with knowledge about Data Structures, Applications of data structures, Problem-solving using data structure tools and Techniques. Students are made familiar with C programming and its applications.

    • AR and VR Gaming

      This Lab is for taking care of the curricular requirements in the domain of AR and VR Gaming Labs.

      Our Virtual Reality, Augmented Reality, and Media Lab contains 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 Oculus Go Standalone Virtual Realty Headset and many other.

    • Microprocessor

      This Lab is for taking care of the curricular requirements in the domain of Microprocessing Lab to provide intensive practical exposure to learn the assembly and embedded C programming systematically for the different issues of microprocessors and implement their codes on INTEL ALTERA DE2 115 DEVELOPMENT AND EDUCATION Boards.

    • Big Data and Machine Learning

      This Lab is for taking care of the curricular requirements in the domain of Big Data Machine Learning and Artificial Intelligence to analyze large datasets, identify trends, and develop predictive models to solve their problems.

      Where students build and train deep neural networks, build a CNN and apply it to detection and recognition tasks, Train test sets, analyze variance for DL applications, use standard techniques and optimization algorithms, and build neural networks in TensorFlow. Students can Build and train RNNs, work with NLP and Word Embeddings, and use HuggingFace tokenizers and transformer models to perform NER.

    • Quantum Computing

      This Lab is for taking care of the curricular requirements in the domain of Quantum Computing Lab, for research uses and quantum theory to develop computer technology.

      Using quantum simulations this lab provides hands-on exercises that execute on real quantum systems provided by IBM Quantum Experience.

    BU PROUD
    • 450+ Companies for Placements
    • 1.37 Cr/Yr.Highest Package
    • 26.20 LPATop 10 percentile B.Tech Salary
    • 10 LPA1 in 3 B.Tech Students Placed Above
    • 4.2 Lac pm Highest Internship Stipend

    Our start-up culture builds successful entrepreneurs of tomorrow

    Right mentorship & a strong foundation make our students push the limits of endurance.

    Bennett University is recognised as a Scientific and Industrial Research Organisation (SIRO) by Department of Scientific and Industrial Research, Ministry of Science and Technology, Government of India.

    BENNETT.EDU.IN

    Key Recruiters

    ACADEMIC

    International Tie-Ups

    More International Tie-Ups

    Bennett University brings international exposure to students. Our strategic collaborations ensure that our students get a glimpse of global education practices.

    INDUSTRIAL

    Industry Tie-Ups

    Learning from deep industry engagement at Bennett University hones the necessary skills required to shine in a competitive work environment.

    Bennett-NVIDIA Centre of Excellence for AI, NVIDIA Super Computer for Deep Learning on-campus testifies University’s cutting-edge research culture. In addition, five CSE Department faculty are NVIDIA Ambassadors for training on AI Technologies.
    Access to education and career opportunities as well as to provide the adequate number of qualified experts, who are in demand within the ICT industry. 3 B.Tech. CSE students were selected for internship at Rs. 14 lac per annum
    Bennett University is a member of Dell EMC’s External Research and Academic Alliance Program. Dell EMC-Data Analytics Lab consists of 32 Dell machines with latest configuration. Dell provides support in terms of faculty training, collaborative projects and exclusive workshops.
    The partnership focusses on development and strengthening systems thinking, problem skills and readiness for lifelong learning in areas of Artificial Intelligence, & Machine Learning. 860+ B.Tech. CSE students have been certified on MS technology.
    Provide industry-recognized Fortinet certification opportunities to students and equip them with in-demand skills for protecting networks from global cyber threats
    Through AWS educate program more than 450+ students got benefited Cloud hands-on AWS Cloud Services (IaaS, PaaS and SaaS) by exploring 50+ different industry-ready courses hosted on AWS Educate portal. 400+ students completed AWS Academy Cloud Foundation Course powered by Amazon Web Services.
    AA has setup a BotLab in the CSE department and has trained faculty on created Robotic Process Automation Bots for different processes
    Bennett University is selected as Host Institution / Business Incubator under MSME (Ministry of Micro, Small & Medium Enterprises), Govt. of India to carry out the scheme "Support for Entrepreneurial and Managerial Development of SMEs through Incubators".
    To promote research collaborations, admissions, student/faculty mobility and more across School of Law, Media, Engineering and Management
    Focus of the alliance is developing AI Models, Solutions, Case Studies, and Joint Research. Drishya AI will provide projects & internships to students.
    Bennett-NVIDIA Centre of Excellence for AI, NVIDIA Super Computer for Deep Learning on-campus testifies University’s cutting-edge research culture. In addition, five CSE Department faculty are NVIDIA Ambassadors for training on AI Technologies.
    Access to education and career opportunities as well as to provide the adequate number of qualified experts, who are in demand within the ICT industry. 3 B.Tech. CSE students were selected for internship at Rs. 14 lac per annum
    Bennett University is a member of Dell EMC’s External Research and Academic Alliance Program. Dell EMC-Data Analytics Lab consists of 32 Dell machines with latest configuration. Dell provides support in terms of faculty training, collaborative projects and exclusive workshops.
    The partnership focusses on development and strengthening systems thinking, problem skills and readiness for lifelong learning in areas of Artificial Intelligence, & Machine Learning. 860+ B.Tech. CSE students have been certified on MS technology.
    Provide industry-recognized Fortinet certification opportunities to students and equip them with in-demand skills for protecting networks from global cyber threats
    Through AWS educate program more than 450+ students got benefited Cloud hands-on AWS Cloud Services (IaaS, PaaS and SaaS) by exploring 50+ different industry-ready courses hosted on AWS Educate portal. 400+ students completed AWS Academy Cloud Foundation Course powered by Amazon Web Services.
    AA has setup a BotLab in the CSE department and has trained faculty on created Robotic Process Automation Bots for different processes
    Bennett University is selected as Host Institution / Business Incubator under MSME (Ministry of Micro, Small & Medium Enterprises), Govt. of India to carry out the scheme "Support for Entrepreneurial and Managerial Development of SMEs through Incubators".
    To promote research collaborations, admissions, student/faculty mobility and more across School of Law, Media, Engineering and Management
    Focus of the alliance is developing AI Models, Solutions, Case Studies, and Joint Research. Drishya AI will provide projects & internships to students.
    ELIGIBILITY

    PGDCSE Eligibility Criteria & Selection Process

    Eligibility

    PGDCSE

    Bachelor’s degree in Engineering/ Technology/ Architecture or equivalent of MCA/ MIT/ MSc with minimum 50% marks

    Selection

    PGDCSE

    Selection will be based on Aggregate Graduation Percentage & Personal Interview

    Student Testimonials

    OUR ASK

    PGDCSE Frequently Asked Questions

    • What are the different specialisations I can opt in PGDCSE?

      Bennett University offers PGDCSE in four specialisations:

      1. Artificial Intelligence
      2. Data Science
      3. Cyber Security
      4. BlockChain
    • What is the eligibility criteria for PGDCSE?

      Bachelor’s degree in Engineering/ Technology/ Architecture or equivalent of MCA/ MIT/ M.Sc., with minimum 50% marks

    • Why should a student pursue Engineering Programs at Bennett University?

      There are many reasons to join Bennett University:
      1. Industry-focused 40+ high-end labs
      2. Ph.D faculty from globally acclaimed institutions
      3. PGDCSE prepares student industry ready within six months.
      4. Students have a golden opportunity to learn specific specialization within 1 year
      5. Students will work on live projects under industry experts
    • What is the selection process of PGDSCE?

      Selection will be based on the results of an Interview or based on the graduation score.

    • What are the prospects for students pursing Post Graduate Diploma in Computer Science Engineering from BU?

      After completing PGDCSE program from BU, several opportunities open for students, including:

      1. Careers in the corporate sector
      2. Research Assistant/ Associate in funded projects
      3. Entrepreneurship opportunities

    • What are the career opportunities after PGDCSE?

      The course is primarily designed for those who wants to learn Computer Engineering in a short span. Once they pass the course, they can become Project Managers, Machinery Managers, Senior Engineers, Maintenance Engineers, Software Developer Research Associates, Design Engineers, Solution Integrators, Network Administrators, Database Administrators, Software Testers, Domain Consultants, Industries Officers (Technical), System Engineers, Team Leads/ Architects or Technology Analysts.
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