Admissions open for January 2025 session. Apply now !
Programme Overview
The All India Management Association (AIMA) offers a one-year Postgraduate Certificate in Management (PGCM) in Advanced Data Analytics and AI, designed to equip professionals with the skills needed in today's data-driven economy. The programme is AICTE-approved and co-created by esteemed academics and industry professionals, delivered by senior academics and distinguished industry experts. It is enhanced by internships, live projects, and practical sessions by ALGO 8 AI known for its expertise in AI deployments and Ikigai AI known for knowledge creation in the field of AI and Machine learning .
Analytics And Artificial Intelligence Overview
In today's data-driven world, the demand for skilled professionals in advanced data analytics and artificial intelligence (AI) is rapidly increasing. These fields are crucial for driving innovation and growth across various industries. As we know,data analytics involves extracting valuable insights from data to inform decision-making. It encompasses various techniques such as data mining, statistical analysis, and predictive modeling. AI, on the other hand, focuses on creating systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.
Programme Objectives
The PGCM in Advanced Data Analytics and AI is designed to equip participants with industry-relevant skills for roles such as Data Analysts, Business Analysts, Data Scientists, Machine Learning Engineers, and Big Data Engineers. It covers key data science platforms and programming languages, including Python and R, and trains participants on essential tools like Hadoop, Spark, and Tableau. The curriculum includes advanced techniques in machine learning, data analysis, data visualization, and predictive modeling. The program also preparing participants for international certifications and emphasizing ethical considerations and data governance frameworks.
Curriculum Structure
The programme is divided into two semesters, with the first semester focusing on foundation and core skills and the second semester focuses on specialization and practical application. Key subjects include Foundations of Data Analytics and Programming, Data Analysis Techniques Using R and Python, Big Data Technologies, Advanced Analytics and Predictive Modeling, Introduction to Data Ethics and Governance, AI Applications for Improving Business Practices, Data Visualization and Communication, Machine Learning at Scale, Business Analytics Specialization, Data Mining and Advanced Techniques, and a Capstone Project or Industry Placement.
Skills And Tools
Participants will learn a range of skills and tools essential for data analytics and AI roles, including Python, pandas, matplotlib, Apache Spark, TensorFlow, and more. The programme emphasizes technical skills, analytical skills, problem-solving skills, machine learning, data visualization, creativity, pattern recognition, logical reasoning, critical thinking, programming languages, and data manipulation.
Programme Highlights
- Teaching Pedagogy: Engaging lectures, real-world case studies, hands-on analysis of industry datasets, live projects, and immersive internship experiences.
- Certification: Post Graduate Certificate in Management (PGCM): — Advanced Data Analytics and AI Applications, approved by AICTE.
- Assessment & Evaluation Process: Modular assessment and final online examination.
- Eligibility: Bachelor's degree in a related field (STEM preferred), basic understanding of programming and statistics, professional experience in a technical or analytical role is advantageous.
Benefits Of The Programme
- Comprehensive Curriculum: Covers Data Analysis, Machine Learning, Artificial Intelligence, Visualization, and more.
- Industry-Relevant Skills: Focuses on Python, TensorFlow, SQL, Hadoop, and Spark, Machine Learning Models, Deep Learning Concepts, support Vetor Machines, Generative AI and may more core concepts.
- High-Demand Job Profiles: Prepares for roles like Data Analyst and Data Visualization Specialist.
- Collaboration with Industry Leaders: Training by IKIGAI School of AI and Algo8 AI.
- Ethical AI Practices: Emphasizes fair, transparent, and responsible AI development.
- AICTE Approved: Recognized qualification by AICTE, Ministry of Education.
- Experienced Faculty: Courses delivered by senior professors and industry professionals.
- Flexible Learning: Blended learning with live and recorded classes.
- Hands-On Projects: Includes capstone projects for real-world application.
- Course for Study Abroad: Well-recognized and accepted for international placements and higher education.
- Credit Alignment with New Education Policy: Offers 52 credits aligned with NEP.
- Lateral Entry to PGDM Course: Provides entry opportunities to the PGDM course.
- Free AIMA Membership: Includes free membership to AIMA.
- Recorded Class Backups: Provides recorded backups of all classes.
For Whom
- The programme is specifically designed for working professionals and fresh graduates, who want to make advancement in their career and job prospects through the most sought, Business Analytics & Data Science skills.
- This programme also useful for those professionals who need to understand and get meaningful insights from the organisational and sectoral data.
- Professionals/Organisations in Manufacturing, Retail, Telecom, Banking, IT Consultancy, Hospitality & Healthcare who want themselves/their employees to be proficient in Business and Data Analysis.
Class Schedule
Days: Classes are held on Saturday/Sunday.
Mode: Online or in person Mode( at AIMA -Delhi or Algo 8 -Noida )
Class timings are updated on student portal, AIMA website and students groups.
Term End Project Work / On The Job Training
The students will be given the opportunity to either work on a term end capstone project in any functional areas from Banking, Finance, Marketing, Human Resources etc. or the sector like banking, health care, public governance, covering data/business analytics problems or models of real world, based on predefined project area in virtual lab or an internship/live project of 3 months in Business /data Analytics.
Assessment & Evaluation Process
The assessment process is divided into 2 levels.
- Modular Assessment: Based on assignments and projects, practical’s - 30%
- Final assessment: Term end assessment covering all subjects - 70%
At the end of the programme, the student will face an online /Offline examination of 3 hours duration for each subject.
About Aima
AIMA, established in 1957, is the apex body of the management profession in India, offering various services in the areas of testing, distance education, skill development & training, research, publications, executive education, and management development programmes.
About Ikigai School Of AI
IKIGAI School of AI is a pioneering ed-tech organization dedicated to empowering learners with AI specialization and fostering innovation, with strong collaborations with PSUs and academic institutions.
About Algo 8
Algo 8 is a leading provider of Industrial AI solutions. They help customers in the energy, manufacturing, and metals industries to improve their efficiency, productivity, and sustainability.
Their AI-powered platform provides real-time insights and recommendations that help customers to optimise their operations, reduce costs, and make better decisions.
Sample Certificate
Contact Us
Neha Malhotra
Manager - Center for Management Education
All India Management Association (AIMA)
15 Link Road, Lajpat Nagar – Part III,
Near Lajpat Nagar Metro Station, New Delhi – 110024
Mobile : +91 9250127573,8178340214
Ph: 011 - 47673078
Email : pgcmba@aima.in
Website : www.aima.in
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|
Semester - 1 (Foundation and Core Skills) |
|||
|
Sr. |
Subject |
Credits |
Type of subject |
|
1 |
Foundations of Data Analytics and Programming |
4 |
Theory |
|
2 |
Data Analysis Techniques Using R and Python |
4 |
Theory |
|
3 |
Big Data Technologies |
4 |
Theory |
|
4 |
Predictive Modeling |
4 |
Theory |
|
5 |
Introduction to Data Ethics and Governance |
4 |
Theory |
|
6 |
AI Applications for Improving Business Practices |
4 |
Theory |
|
7 |
Live Minor Project During Break |
4 |
Practical |
|
Total semester Credit |
28 |
||
|
Semester - 2 (Specialization and Practical Application) |
|||
|
Sr. |
Subject |
Credits |
|
|
8 |
Data Visualization and Communication |
4 |
Theory |
|
9 |
Machine Learning at Scale |
4 |
Theory |
|
10 |
Data Mining and Advanced Techniques |
4 |
Theory |
|
11 |
Business Analytics Specialization |
4 |
Theory |
|
12 |
Capstone Project or Industry Placement |
8 |
Practical |
|
Total semester Credit |
24 |
||
Total Program Credit 52
Lump sum payment option
|
Mode |
Fee Particulars |
Fee |
|---|---|---|
|
Online- Live Classes-P64 |
Onetime payment (at the time of admission) |
₹ 96,000 |
|
In person- Face to Face-P65 |
Onetime payment (at the time of admission) |
₹ 120,000 |
(Plus Rs 1000/- as admission processing fee at the time of registration)
INSTALLMENT OPTION
For first module pay, at the time of admission and for the subsequent module, before the commencement of classes.
OPTION 1
|
Mode |
Fee Particulars |
Fee |
|---|---|---|
|
Online- Live Classes- P66 |
First Module |
₹ Rs 48,000/- |
|
Online- Live Classes-P66 |
Second Module |
₹ Rs 48,000/- |
|
Total |
₹ 96,000 |
OPTION 2
|
Mode |
Fee Particulars |
Fee |
|---|---|---|
|
In person- Face to Face-P67 |
First Module |
₹ Rs 60,000 |
|
In person- Face to Face-P67 |
Second Module |
₹ Rs 60,000 |
|
Total |
₹ 120,000 |
- (Plus Rs 1000/- as admission processing fee at the time of registration)
- The fee above is inclusive of all academic charges, study material cost, online course content, LMS, Digital Library, amongst other facilities provided by AIMA. All fees paid are non-refundable.
- Bank loan and EMI option available
All our trainers have close to 15-20 + Years of Work Experience, Most of them have themselves managed Key Leadership roles across industries and academia – having the key knowledge on Data Sciences, Data Analytics, Big Data Technologies- Hadoop, Pig, Spark, Hive, Machine Learning, Artificial Intelligence, Decision Sciences, Programming Languages like R, Python, SQL, and Allied Technology Tools.
All of them have worked as Analytics Experts / Consultants and Trainer.
They bring with them, the rich experience of handling projects of corporates like Microsoft, IBM, PwC, Ministry of MSME, NASSCOM and other MNC's in India and Globally.
Dr Anuja Pandey, Phd, MBA, Msc, Professor Marketing, Program Director, AIMA
Dr. Anuja Pandey is a faculty, trainer, consultant, and researcher. With over 30 years of experience and expertise in marketing and customer experience management.
With more than 21 papers published in International and National Journals, Dr. Pandey has also authored and edited three books for Wiley. She has presented numerous research papers at international and national conferences and has developed 12 case studies in Marketing Analytics for Wiley Publication and 7 cases on Entrepreneurship.
She has recently submitted a research project to DSIR, DST on “Readiness and Interest of Organizations for Adopting Emerging Technologies like AI and ML.”
Nandan Mishra, BTech, MTech Indian Institute of Technology, Kanpur, Program Mentor
Nandan Mishra is a prominent figure in the field of Artificial Intelligence and Machine Learning, currently serving as the CEO of Algo8, a leading provider of industrial AI solutions. His leadership at Algo8 has been instrumental in the company's focus on utilizing machine learning and artificial intelligence to enhance operations in energy and manufacturing sectors, emphasizing on improving efficiency, reducing costs, and increasing sustainability.
Additionally, Nandan Mishra's involvement in various national committees and think tanks reflects his commitment to advancing AI/ML applications, research, and development. His participation in discussions on the global and Indian AI landscape, alongside other thought leaders, highlights his influential role in shaping the future of AI.
Kartik Sharma, BTech, IIT Roorkee
Kartik Sharma is a serial entrepreneur with focus on AI implementation and education, deeply passionate about democratizing AI to solve complex problems and create future skilled generations. He is a Silver Medalist from prestigious Indian Institute of Technology, Roorkee and worked with organizations such as Nestle, Deloitte, Naspers where he led large scale AI and technology projects across Asia, UAE, Africa, UK and Americas.
With several titles to his name, Kartik has authored a series of widely acclaimed and bestselling books on Artificial Intelligence adopted by prestigious CBSE, ICSE and state board schools for AI learning. Having written notable publications, he is an active contributor to the AI skilling and education policies of the government in various countries. He founded the International School of Artificial Intelligence, an online platform that offers a range of courses on AI, Robotics, Coding and related fields.
Dr. Saurabh Agarwal, BTech-IIT K, MTech-IIT-D, Faculty- Expert in Machine Learning & Advanced Data Analytics using IBM SPSS, Python & R
Prof. Saurabh Agarwal, an alumnus of the esteemed IIT Kanpur and IIT Delhi, boasts a rich academic background as a graduate and postgraduate engineer. His consultancy extends to renowned entities such as IBM and UNESCO, focusing on the realm of Business Analytics. Noteworthy among his scholarly contributions is a paper elucidating the integration of Alternate Payment Channels, which garnered recognition at The Fourth International Conference on Payment Channels hosted by Banknet India in Mumbai.
His academic interests span a wide spectrum encompassing Data Mining, Data Analysis, Business Analytics, Structural Equation Modelling, and Multivariate Analysis, with proficiency in utilizing platforms such as R, SPSS, Amos, Modeler, and IBM Watson Analytics. Prof. Agarwal's expertise transcends borders, as evidenced by his facilitation of international workshops and training sessions for prestigious entities including Saudi Aramco, Kiatanin Bank Bangkok, and the Ministry of Road Transport Abu Dhabi, among others. Domestically, he has conducted impactful training programs at esteemed institutions like AIMA, New Delhi, Symbiosis University, Pune, and VGSOM, IIT Kharagpur, showcasing his commitment to knowledge dissemination and academic enrichment.
RAJIB BHATTACHARYA, Director - Global Leader in Data & Analytics @ Cargill
Rajib is a Global Leader of Data and Analytics for the Strategic Sourcing and Procurement function at Cargill, one of the largest privately held corporations in the world. With over 19 years of experience in the IT industry, he has extensive knowledge and expertise in data, analytics, data governance and artificial intelligence, as well as automation, agile, product management and cloud technologies. He has played several leadership roles in consulting, service delivery, solution architecture and pre sales in the past.
Rajib passionate about delivering innovative and impactful solutions that leverage data and AI to drive business value and competitive advantage. He has successfully led and executed multiple projects involving analytics, data warehousing, data science, and cognitive computing, using tools such as Power BI, Tableau, Cognos, Snowflake, R, Python and Watson. He has also earned several certifications and awards for my technical excellence and customer satisfaction. Additionally, Rajib enjoys sharing my insights and best practices through my blogs and publications on various topics related to Data and AI / Analytics.
Shantam Doda, Btech,NIT Jalandhar
Shantam Doda is a seasoned Data Science professional with over 8 years of experience, specializing in machine learning models for business solutions. He has worked with top firms like Samsung Research Institute and Dunnhumby India Pvt Ltd, and has expertise in insurance, HR, retail, and pharma sectors. Shantam also mentors students in Data Science, collaborates with EdTech vendors, and supports talent acquisition. He holds a B.Tech in Computer Science from NIT Jalandhar and has consulting experience in blockchain and NFT projects.
Dileep Kumar Sahu
Dileep Kumar Sahu is a seasoned IT trainer and professional based in Bengaluru, India. Currently at IKIGAI School of AI since January 2024, he has held significant roles such as Engineering Manager at Tesco and Development Manager at Schneider Electric. With expertise in Python, Java, IoT, AI/ML frameworks, and cloud computing, Dileep is skilled in curriculum development, instructional design, and mentoring. His diverse experience includes positions at MasterCard, Envestnet/Yodlee InfoTech, and Motorola.
Dr. Krishna Kumar Singh, Researcher and Author
Dr. Krishna Kumar Singh is an educator, research analyst, writer, and corporate trainer with more than 20 years of experience. He is a certified professional and trainer of I.T Infrastructure management, Storytelling with data, Big Data Analytics, Data Science and analytics, ERPsim on SAP S/4 Hana, SAP cloud analytics, Salesforce, SAS. He is author and researcher in the field of Big Data Analytics, Green IT infrastructure, Brain science, Alzheimer's disease and diabetes. He has published several papers in world top 03 journals, A*, A and Q1 journals.
