Post Graduate Diploma in Smart Manufacturing

Programme Curriculum

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.

 LABS

The Post Graduate Diploma in Smart Manufacturing offers state-of-the-art lab infrastructure to provide students with hands-on experience and practical learning opportunities. The lab infrastructure includes:

Mechatronics Lab

This laboratory offers a diverse range of capabilities for hands-on exploration in mechatronics and control systems. Students can simulate fundamental concepts of signal sensing, conditioning, and output actuation, gaining practical insights into the intricacies of mechatronic systems. The lab facilitates the comprehensive simulation of complete mechatronic setups, integrating sensors, microcontrollers, and actuators. Additionally, students can delve into the intricacies of hydraulic and pneumatic circuits, gaining practical experience in their simulation. The facility also supports simulated programming of Programmable Logic Controllers (PLC) using ladder logic. Furthermore, students can explore actuator modeling using MATLAB-SIMULINK and delve into the principles of P, PI, and PID control through MATLAB-SIMULINK simulations, providing a holistic and hands-on learning experience in mechatronics and control systems engineering.

Industrial IoT Lab

The laboratory provides advanced capabilities in data acquisition, particularly from Internet of Things (IoT) sensors through remote experiments. It trains students to develop dashboards using the open IoT Platform integrated with MATLAB Analytics. These capabilities are harnessed to reinforce the theoretical foundations covered in the IIoT course, enabling students to create and apply connected things. The lab facilitates the acquisition and display of sensor data, as well as remote operation and control of a water bottling plant, accessible through both computer and mobile applications. The laboratory extends its capabilities to incorporate Augmented Reality (AR) and Virtual Reality (VR) applications. Moreover, basic data analysis is seamlessly performed, enhancing the overall learning experience in the realm of Industrial Internet of Things (IIoT).

Big Data Analytics in Manufacturing Lab

The laboratory provides students with an advanced learning environment in MySQL database management. It guides students through the creation and deployment of databases, emphasizing expertise in the seamless integration of MySQL databases and the execution of queries for sensor data. The lab extends its capabilities by enabling students to upload sensor data to the Google Cloud Platform (GCP) Cloud, where they can perform advanced queries using GCP BigQuery. Leveraging Python, students engage in insightful data analytics, gaining a comprehensive understanding of data processing techniques. Moreover, the lab demonstrates proficiency in material property prediction for sheets, incorporating Machine Learning (ML) models for precise predictions. Students also explore the prediction of bearing live and roll life using ML models, and the application of Convolutional Neural Networks (CNN) for defect prediction in sheets. These diverse and advanced capabilities emphasize the lab's commitment to providing students with a sophisticated and multifaceted environment for mastering database management, data analytics, and predictive modeling.

Cybersecurity in Manufacturing Lab

The laboratory provides students with an immersive experience in threat modeling tailored to manufacturing plant scenarios, guiding them through the systematic identification and cataloging of potential risks. With a dedicated focus on cybersecurity, students gain hands-on experience using network reconnaissance tools like WHOIS, DIG, Traceroute, and NSLookup to extract intricate details about network and domain registrar information. Through engaging Tabletop Exercises, students evaluate and enhance their network incident response preparedness, fostering a proactive approach to addressing potential threats. In the realm of cryptography, students have the opportunity to develop programs facilitating secure and encrypted message exchange between client-server setups. Additionally, leveraging advanced tools like NMap, students perform comprehensive scans, honing skills in open port detection, OS fingerprinting, ping scans, and both TCP and UDP port scans. This immersive learning environment underscores the laboratory's commitment to providing students with hands-on experiences in proactive threat mitigation and cybersecurity readiness, particularly in the context of manufacturing plant scenarios.

Connected Manufacturing Lab

The laboratory extends a valuable learning experience to students by immersing them in the development of digital twins. Leveraging cutting-edge tools such as SIMULINK, Microsoft Azure, Flexsim, and others, students gain hands-on expertise in crafting digital twins for process optimization and predictive maintenance. The lab also delves into warehouse management systems, providing students with practical insights into efficient logistics operations. Furthermore, students explore communication protocols for collaborative robots, honing skills in optimizing teamwork among robotic systems. Additionally, the lab offers an opportunity to work with wearables designed for worker safety, allowing students to understand and implement solutions that prioritize and enhance the well-being of industrial personnel. This comprehensive approach underscores the laboratory's commitment to providing students with practical and applicable skills in digital twin development and associated technologies for various industrial applications.

Machine Learning Lab

This lab empowers students by offering hands-on experience in the entire lifecycle of machine learning. Students have the opportunity to prepare datasets, develop and evaluate machine learning models, perform hyperparameter tuning, and deploy models, all while using essential tools such as Python, Matlab Simulink, and SQL. Additionally, students gain proficiency in a range of machine learning libraries including scikit-learn, kmeans, knn, opencv, prophet, lightfm, keras, tensor flow, and openai.

Cloud Computing Lab

This lab equips students with comprehensive skills in cloud computing. Students engage in tasks such as setting up and managing cloud-based datasets, developing applications for the cloud, optimizing resource allocation, and deploying and monitoring applications in a cloud environment. Utilizing essential tools like AWS, Azure, and Google Cloud Platform, students gain hands-on experience in cloud infrastructure and services, enhancing their proficiency in cloud computing technologies.

Eligibility Criteria

Employed professionals holding B.E./ B.Tech./ M.Sc./ Integrated First Degree of BITS or its equivalent with at least 60% aggregate marks, and are employed in an industry relevant to the program.

How to Apply

1.  
2. 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.
3. 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 the details and press ‘Submit’ button given at the bottom of the form.
4. Take the next step by clicking on Step 2 - 'Download Application PDF Copy’. This will download a pdf copy of the application form on your computer.
5. Now, click on Step 3 - 'Pay Application Fee’ to pay INR 1,500/- using Netbanking/ Debit Card/ Credit Card.
6. 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. This Application Form Number should be referred in all future correspondence with BITS Pilani.

7. In the printout of the downloaded Application Form, you will notice on page no. 3 a section called the Employer Consent Form. Complete the Employer Consent Form. This form needs to be signed and stamped by your organisation’s HR or any other authorised signatory of the company.

   Important: In view of work-from-home policies mandated by many organisations, a few candidates may not be able to get the physical forms signed by their HR/ other authorised organisational representative. Such candidates may instead request an email approval to be sent to their official email ID by the HR using the format available through this link.

8. Further on page no. 4 of the printed Application Form is a section called the Mentor Consent Form. The Mentor Consent Form needs to be signed by the Mentor. Click here to know who could be a Mentor.

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   Who is a Mentor:

   Candidates applying to Work Integrated Learning Programmes must choose a Mentor, who will monitor the academic progress of the candidate, and act as an advisor & coach for successful completion of the programme. 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. Wherever the proposed Mentor is not from the same employing organization as that of the candidate, a supporting document giving justification for the same should be provided by the candidate’s employer.

   Candidates applying to B.Tech. programmes should choose a Mentor who is an employed professional with B.E./ B.S./ B.Tech./ M.Sc./ A.M.I.E./ Integrated First Degree of BITS or equivalent

   Candidates applying to M.Tech., M.Sc., MBA, M.Phil programme should choose a Mentor who is an employedprofessional with:

   • B.E. / M.Sc. / M.B.A. / M.C.A. / M.B.B.S. etc. and with a minimum of five years of relevant work experience

   • M.E./ M.S./ M.Tech./ M.Phil./ M.D./ Higher Degree of BITS or equivalent

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   Important: In view of work-from-home policies mandated by many organisations, a few candidates may not be able to get the physical forms signed by their Mentor. Such candidates may instead request an email approval to be sent to their official email ID by the Mentor using the format available through this link.

9. Further on page no. 5 of the downloaded Application Form, is a Checklist of Enclosures/ Attachments.
10. Make photocopies of the documents mentioned in this Checklist.
11. Applicants are required to self-attest all academic mark sheets and certificates.
12. Finally, click on Step 4 - 'Upload & Submit All Required Documents’. This will allow you to upload one-by-one the printed Application Form, Mentor Consent Form, Employer Consent Form, and all mandatory supporting documents and complete the application process. Acceptable file formats for uploading these documents are DOC, DOCX, PDF, ZIP and JPEG.
13. Upon receipt of your Application Form and all other enclosures, the Admissions Cell will scrutinise them for completeness, accuracy and eligibility.
14. 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.

FAQs

1. For whom this programme is designed for?

Meant for engineering graduates with or without industry experience aspiring to venture into the niche domain of Smart Manufacturing.

2. What certification do I receive at the end of the programme?

Post Graduate Diploma in Smart Manufacturing from BITS Pilani one of the institutes recognized as Institution of Eminence by the MoE.

3. Will I become an alumni of BITS Pilani upon completion of this programme?

Yes, you will join the proud alumni network of BITS Pilani and you can participate in all the relevant events organized by the BITSAA.

4. How is this programme different from others?

This program is designed for engineering graduates who do not have any prior working experience in Smart Manufacturing or automotive engineering. The program prepares the engineers for a career in the niche domain of automotive Smart Manufacturing from basics. Thus, it is not a short term training/ skill development program but a comprehensive formal post graduate diploma program.

5. What is the weekly time commitment expected?

On an average a student is expected to spend around 25-30 hours per week.

6. How will my doubts/questions be resolved in this programme?

Students can interact with their respective faculty during the weekly periodic Contact sessions. In addition to this students can reach out to the faculty and teaching assistants using discussion forums and chats.

7. Is there any minimum qualification required to apply for this programme?

A student aspiring to enroll for the program should have a valid engineering degree.

8. Will I get a job after this programme?

Smart Manufacturing in general and automotive Smart Manufacturing in particular is a rapidly emerging area with significant skill gaps. Organizations are keen to recruit people who have adequate knowledge in Smart Manufacturing. This program has been designed in collaboration with such organizations to bridge this skill gap. Telangana Manufacturing Valley as a part of the larger initiative is promoting this program. Considering the above it can be said with fair confidence that students will secure placement on successful completion of the program. The institute will also organize periodic engagements with prospective industries to showcase the student talents.

9. What if I don't have any prior knowledge in automotive technology -

Such students need to undertake a special course namely Automotive Vehicles. The digital content will be shared by the institute and it will be a self learnt course. There will not be any assessment/ grading for this