POST-GRADUATE CERTIFICATE PROGRAMME IN ARTIFICIAL INTELLIGENCE, MACHINE LEARNING AND BIG DATA
Goa Institute of Management is ranked 35th in India in the overall rankings of the NIRF 2021 (Govt. Of India).
GIM's PGDM in BigData Analysis is rated as the 2nd best BDA Programe in India (2021)
-Analytics India
Program Code:
GIMBD-22-01
Program Schedule:
To be announced soon
Program Duration:
6 Months
About The Module
The programme is structured to have a 40:60 mix of business knowledge and BDA related experience. Students shall be facilitated to develop those qualities and to internalise those values which will make them effective leaders in organisations. The programme involves extensive application of case-based learning, use of simulations, seminars, and actual hands-on training, assignments both at individual and group levels, and intensive exposure to the actual business problems. The courses are critically designed taking feedback from consultants, teachers and cross-section of leading industries in the area of analytics and to make programme attractive to employers.
Faculty Expert
Amit Ram Puniyani
Associate Professor
Brief write-up: Worked on computational modeling in Physics for 10 years as undergraduate and graduate student, both in India and overseas. Got involved with financial modeling, forecasting and derivatives risk management after PhD and worked in overseas banks like Lehman Brothers (Now Nomura) and Deutsche bank for 12 years.
Began teaching quantitative finance to FRM students during this period and also developed an interest in statistical arbitrage/algorithmic trading. Am quite broadly interested in applying statistical and computational methods to finance and economics and would also like to work with data from other domains using similar techniques/ideas such as policy, energy, marketing, elections etc.
Courses taught: Statistics, Predictive Analytics lab in R and Python, Mathematical methods for managers (Time series forecasting and advanced regression), Credit Risk analytics, MDP on Statistical Learning
Soumen Kumar Manna
Assistant Professor
Dr. Soumen Kumar Manna earned his Masters and PhD degree both from IIT Bombay in the field of ‘Applied Statistics and Informatics’. He has 10+ years of academic and industry experiences. Before joining GIM, he taught prestigious institutes like IIT Bombay, Mumbai University, Ramaiah University and VJTI Mumbai. He has also worked with companies like INSOFE, Cytel, Bisleri, etc.
His areas of interest are Mathematics, Statistics, Optimization, Design of choice experiments, Machine learning, Data science and Computer programming. He enjoys his spare time with novels, football, and new cuisines. He is an avid traveller. His other interests lie in Cosmology and Space exploration.
Courses taught: Machine Learning, Data Science, AI for Managers, Statistics, Optimization, Design of experiments, Choice experiments, Python, R.
Also Teaches:IIT Bombay, Mumbai University, Ramaiah University, VJTI Mumbai.
Anup Kumar Maurya
Assistant Professor
Dr. Anup Kumar Maurya is presently working as an Assistant Professor at the Goa Institute of Management. He has completed his Ph.D. in the area of “Secure Wireless Sensor Networks & Internet of Things” from the Institute for Development & Research in Banking Technology (IDRBT, Established by RBI) and University of Hyderabad, India.
He obtained his M.Tech. Degree in Artificial Intelligence from the University of Hyderabad. He received his Master’s Degree in Computer Application from Uttar Pradesh Technical University, Lucknow, and a Bachelor of Science Degree in Mathematics from DDU Gorakhpur University, India. He has completed the faculty development program (FDP) on Machine Learning with Business Applications from the Indian Institute of Management, Bangalore (IIM-B). He has various research publications, including one of special mention where he got the best research paper award at the International Symposium on Security in Computing and Communication-2017, Manipal, India. He has worked on various innovative mobile banking projects of Centre for Mobile Banking in IDRBT, Hyderabad. He is a reviewer for various reputed international journals (International Journal of Distributed Sensor Networks, IEEE Sensors Journal, IEEE Access, and International Journal of Communication Systems). He was selected as a visiting researcher at the State University of New York at Buffalo (Centre for Unified Biometrics and Sensors), USA, and has worked there on biometric-based efficient user authentication protocols.
Courses taught: Machine Learning, Big Data Analytics, Cloud Computing & Cyber Security, Data Mining
P Balasubramanyam
Assistant Professor
Dr P Balasubramanyam, Associate Professor at Goa Institute of Management in Big Data Analytics department has more than 20 years of working experience in IT and manufacturing domains. He led successfully many projects through applying Machine learning and AI techniques to complex manufacturing and connected industry domains.
Majority of his experience involves prediction modelling and supply chain management related topics where he is able to create and implement several tools and techniques in the manufacturing industry. Several initiatives in these areas resulted in cost reduction as well as productivity improvement for the domains where it has been implemented for practical use.
He holds the doctorate degree in statistics from Sri Venkateswara University, Tirupati with a focus of applying Neural networks in forecasting topic. He also delivered key notes at various academic institutions and presented his thoughts at various national and international conferences. His primary research focus is in the area of applying the artificial intelligence for the betterment of human lives on the earth and spreading the notion of science for the betterment of lives among the younger generations. His research interest lies in the areas of supply chain management for manufacturing and predictive modelling for better decision making.
Courses taught: Data Preparation, Predictive Modelling, Optimization Techniques, Business Statistics, Quantitative Methods
The program will expose students to statistical theory, data management including big data, and business intelligence systems including machine learning, artificial intelligence and deep learning and related tools, techniques and algorithms. The major emphasis will be on providing hands-on training to the students using all major software tools in vogue.
6 months Program
Total 96 sessions: 4 sessions per weekend (Sat and Sun, 1.5 hrs each session)
Total 144 hours: 6 hours a week
Includes 2 Day Bootcamp at GIM Campus, Goa, with Residential facilities and food facilities on campus. Airport/Railway transfers will have to be borne by the participants.
Online and Onsite Modules
Live and Interactive Modules
Free knowledge sharing recorded sessions/videos by industry experts on Niche Topics
Internship and Placement assistance through Task Staffing Solutions Private Limited (One of our Group Company)
Use cases, capstone projects & real time data for better practical exposure
Dedicated Relationship Managers (RMs) to assist you in completion of the module
Weekend sessions, especially for working professionals
Networking with Like Minded Professionals
An Initiative from Task Group which has been servicing in the Indian Employment Market for last 24 years
2 days Bootcamp at the Goa Campus
Alumni status from Goa Institute of Management
Placement Assistance
Networking with Peers
The data related to use cases would be provided to you. You will have access to the faculty experts for solving your problems. Larger cases would be provided as assignment and solutions to them would be provided at the end of the stipulated time.
Who should Attend?
The programme is for individuals who like examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information, looking for a challenging, international business program with an experiential learning approach that creates future leaders and industry disruptors, and to become…
A data scientist
A data analyst
A database administrator
A business intelligence analyst
Any graduate with a graduation from a recognized University. Minimum work
experience of 1 yr. required
Software engineers wishing to enter into big data analysis
Business Analysts / Mid-level IT Professionals
Marketing/Healthcare professionals with prior knowledge of analytics/working in
business analytics domain.
Candidate must have a Desktop / Laptop.
Program Fee: ₹ 1,00,000* + GST
*Bootcamp charges shall be additional
EMI starts at ₹ 6219/month
Installment Scheme Available
SkillSir offers internally developed training modules
SkillSir offers programmes partnering with top educational institutes.
Application and Enrollment Process:
User will see the list of modules/courses on the SkillSir Website (www.skillsir.com).
The module/course content page on the Website will have an Apply Now button; the participants can click on that button and follow the simple registration process.
On Clicking the button, it will take the participant to the sign-up/registration page and the participant will have to fill up the form.
Our Counsellor will get in touch with the participants and check if they are eligible for the programme as per the eligibility criteria of The Institute.
Once the eligibility is confirmed, SkillSir will accept the registration of the participant and this will send out a verification mail to the registered id of the participant.
When the participant verifies the account, the participant will be directly taken to the checkout page.
Emails will be triggered to the participant and admin for successful payment and enrolment notification.
After successful enrolment for the course/module, the participant will be able to access the module/course.
In case the participant needs help, they may please reach out to our Counsellor/RM. They may also reach out to us on : Email: info@skillsir.com ; M: +91-9377320202; LL: 079-40205060/09/12.
This Payment, Refund and Deferral Policy will come into effect immediately after a user/learner (“you” or “he” or “she” or “it”) acknowledges and agrees to the Policy. This Policy applies to the E-Learning Platform “SkillSir” which is a Training and Up-Skilling platform that offers its services through online as well as onsite/on campus trainings, designed to facilitate the teaching, learning, studying and evaluative process (the “Site” or “Web Site” or “Emails” or “Mobile Application” or “App” or “Us” or “We”) which is vertical/division of Task Initiatives Private Limited, a Company registered under the Companies Act, 1956 having its registered office at 14, 3rd Floor, Zodiac Square, Opp. Gurudwara, S.G. Highway, Bodakdev, Ahmedabad -380054 (Hereinafter referred to as “Company”).
1. Payment Policy
a. The Company shall provide the users/learners with information of the Fees payable on its E-Learning Platform for each of the module /programme that it announces. The Company at its sole discretion may also provide a detailed schedule of payments for each module/programme on its E-Learning Platform. The users/learners acknowledge and agree that only after full payment of fees having been received by the Company as per schedule during the time of registration/enrollment; the users/learners shall be permitted/allowed to participate in a programme.
b. The users/learners shall register themselves with the E-Learning Platform to access the modules/programmes on SkillSir’s E-learning platform. The Company at its sole discretion may provide a time limit of 15 (Fifteen) days for the completion of payment for the registration of modules/programmes.
c. Once the payment is done, the Company at its sole discretion may either enroll the user/learner in the chosen module/programme or reject the registration of the user/learner. In a scenario wherein, the Company rejects a registration for any reason whatsoever, the complete fees if already paid by the user/learner will be refunded. An enrollment is said to be completed only when the user/learner has been admitted to a chosen module or programme by the Company after having received full and complete payments and other required details from the user/learner.
d. The user/learner agrees that it is the sole responsibility of the learner / user enrolling into a Programme to check the accuracy of, and evaluate the suitability and relevance of, the Programme elected. The user/learner shall note that the enrollment into a Programme is strictly nontransferable.
e. The user/learner shall ensure that they have an internet access and a valid and accepted payment method for making payment for the chosen/elected module/programme.
f. The user/learner acknowledges that the Company does not store any of the credit card information or such other information restricted by the RBI / Government, for processing payment and avails services of payment gateways for the payment towards the services. Therefore, by using a third-party payment provider, the user/learner agrees to abide by the terms of such a payment provider. The user/learner agrees that in case third-party payment provider stores any such information, the Company shall not be responsible for such storage, and it will be solely at the user’s/learner’s discretion to allow the said third party to store such information. Any loss of such information or any loss incurred by the user/learner due to the usage of such information shall be solely a loss incurred by the said user/learner, and the Company is neither liable for any such losses nor responsible to reimburse / make good such losses in any manner whatsoever. The user/learner also agrees to pay the applicable fees for the payments made through the E-Learning Platform.
g. The user/learner acknowledges that failure to pay may result in withdrawal of the user’s/learner’s access to a programme.
h. The user/learner acknowledges that the Company does not support all payment methods, currencies or locations for payment. All applicable taxes are calculated based on the billing information that the user/learner provides at the time of registration / enrollment.
2. Refund Policy
a. A user/learner may cancel the enrollment at any time, nonetheless, no refund shall be made once the payment (in part or whole) for a programme/ module has been made. You shall note that we do not provide refunds for the lack of usage or dissatisfaction. However, requests for refund of fees on account of cancellation of enrollment may be considered by the Company only if such requests are received prior to closure of registration or 15 days before date of course commencement whichever is earlier, by sending an email request to the user’s/learner’s/your relationship manager and/or admissions counselor from SkillSir, with reasons listed. There shall be no refund applicable once the program has started. Further, in all other cases no refund shall be made.
b. In case of cancellations of enrollment or registration or refunds, the Company reserves the right to charge a cancellation/ processing charge up to an amount of Rs 3000/- (Rupees Three thousand).This is applicable even for those users/learners who are unable to complete their payment, and hence could not be enrolled in the batch opted for. However, the user/learner can avail pre-deferral as per the policy defined herein below.
c. Refund will be processed to an eligible user/learner within 30 (thirty) working days from the date of receipt of written request/application from the said user/learner.
3. Deferral Policy
a. In a scenario wherein, a user/learner opts for deferring to another batch of the same programme prior to commencement of the programme, the fees/amount(s) paid shall be considered as an advance payment towards the next batch. However, a process charge of Rs.3000 (Rupees Three thousand) plus taxes shall be applicable. The user/learner shall thereafter be counted as a part of the new batch that he/she has been deferred to and the said user’s/learner’s old/earlier provided login may be disabled.
b. The fee applicable to the deferred user/learner will be as per prevailing fee for the batch that the user/learner has opted to defer to. The user/learner shall be liable to pay the differential programme fees between the two programmes if any.
c. In case a user/learner decides to differ dates before the commencement of a programme post payment the total programme fee, the total programme fee plus taxes (if any) will be considered against the next batch that the user/learner opts for. The user/learner shall have to additionally pay 10% (ten percent) of the total fee as the deferral fee. The deferral request will be approved once the deferral fee is paid.
d. In case a user/learner faces severe issues in dedicating time to the course/programme, upon request, an opportunity may be provided to the user/learner by the Company to defer to an another batch. The said request shall have to be informed within 1 (one) month of the commencement of the programme for which the user/learner is enrolled for. The total programme fee plus taxes, if any, will be considered against the next batch. The user/learner shall have to additionally pay 30% (thirty percent) of the total fee as the deferral fee. The deferral request will be approved once the deferral fee is paid.
4. Cancellation by Company or the associated Institutional partners
The Company & associated institutional partners, reserves the right to cancel any programme at any time owing to reasons like insufficient enrollments, trainer/faculty indisposition or force majeure events. In an event wherein the Company & associated institutional partners cancels a scheduled course/module/programme, the user/learner will receive full fee refund for the same. All refunds will be processed within 30 (thirty) days of receipt of a valid refund request.
For any queries, you can reach out to us at www.skillsir.com and info@skillsir.com
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Certificate Sample
