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Programs

SCMS offers programs for working professionals on a flexible platform. These programs are contemporary, well-crafted and industry relevant.

Programs are designed to offer an executive a strong flavour of general management. Specializations end in an immersive capstone project that combines learning experiences and technology and management certifications.

With the accelerating pace of competition, cutting-edge companies are defined by innovative strategies. In the Executive Education programs, a student will explore how to develop ground-breaking strategies and action plans for execution, forecast industry evolution, and analyse strategic trade-offs to build and sustain your company's competitive advantage ultimately.

The pedagogy for the program is shaped around interactive lectures, hands-on assignments and case study analyses.

All our programs equip the students with new knowledge, frameworks, concepts and various professional skills. It allows them to advance in their careers and even transform their lives to be productive, helpful and successful.

    We recommend that the student is conscious of the following:
  • Organizational impact matters as much as professional development.
    A student needs to operationalize learning. Is your knowledge a value add for your organization?
  • Keener introspection facilitates more significant external influence.
    Does your learning make you more focused, intense and mindful? It would be best if you widened your circle of influence.
  • Rethink, repurpose and renew what we're already doing.
    Ideate and create fresh paradigms both for yourself and your organization.
  • See something differently.
    The classroom thrust empowers students to individually and collectively "see" innovation in a different way. Develop creativity and bring fresh ideas to the table.
  • Do something different.
    It would be best if you had a bias for action. Action speaks louder than words. Experiment and calibrate results all the time. Try new things.
  • Measure the difference.
    Build focus and resilience. Look for outcomes and measure them. Try again if you fail.
  • Build an arc.
    Network all the time. Develop mentors and get feedback from people willing to help, including your boss. Reach out to colleagues and friends.

A seventeen-month post-graduate program in management spread across 4 trimesters. The program is well-grounded on a general management perspective with the first three trimesters being populated with core and foundation courses. Trimester 4 has specialization courses where the student will specialize in one of the eight functional areas on offer. Trimester 4, ends with a capstone project, which will capture learning from the entire program where a student is expected to engage with a live industry project under the guidance of an advisor.

Trimester 1
Course code Courses
18EPG101 Human Resource Management
18EPG102 Accounting for Managers
18EPG103 Marketing Management
18EPG104 Organization Theory
Trimester 2
Course code Courses
18EPG201 Corporate Finance
18EPG202 Managerial Economics
18EPG203 Business Law, Ethics & Social Responsibility
18EPG204 Corporate Entrepreneurship & Innovation
Trimester 3
Course code Courses
18EPG301 Operations Management
18EPG302 Global Business
18EPG303 Strategic Decision Making & Management
18EPG304 Research Methodology
Trimester 4 Human Resource Management
Course code Courses
18EPG401 Performance Management
18EPG402 Learning & Development
18EPG403 Compensation Management
18EPG400 Capstone Project
Trimester 4 Marketing Management
Course code Courses
18EPG404 Consumer Behavior & Research
18EPG405 Advertising and Integrated Marketing Communication
18EPG406 Social Media Marketing
18EPG400 Capstone Project
Trimester 4 Global Business
Course code Courses
18EPG407 Global HR
18EPG408 Global Sales, Marketing & Distribution
18EPG409 Global Finance
18EPG400 Capstone Project
Trimester 4 Project Management
Course code Courses
18EPG410 Emerging Areas in Project Management Practices
18EPG411 Project Planning – Production Planning & Control
18EPG412 Project Risk Management
18EPG400 Capstone Project
Trimester 4 Operations Management
Course code Courses
18EPG413 Logistics & Supply Chain Management
18EPG414 Total Quality Management
18EPG415 Lean Operations Management
18EPG400 Capstone Project
Trimester 4 Business Analytics
Course code Courses
18EPG416 Introduction to Analytics
18EPG417 Prescriptive Analytics
18EPG418 Predictive analytics
18EPG400 Capstone Project
Trimester 4 Financial Management
Course code Courses
18EPG419 Security Analysis and Portfolio Management/td>
18EPG420 Financial Derivatives and Risk Management
18EPG421 Project Appraisal and Financing
18EPG400 Capstone Project
Trimester 4 Entrepreneurship & Innovation Management
Course code Courses
18EPG422 Introduction to Entrepreneurship
18EPG423 Opportunity Identification & Generating Ideas
18EPG424 Positioning as an Entrepreneur – Starting Your own Business: BPD
18EPG400 Capstone Project
Information Technology Management
Program & Course Code Course
18EPG425 IT Strategy for Business
18EPG426 Digital Enterprise
18EPG427 Product Management
18EPG400 Capstone Project
Logistics & Supply Chain Management
Program & Course Code Course
18EPG428 IT in SCM
18EPG429 Logistics & Materials Management
18EPG430 Sales & Operational Planning
18EPG400 Capstone Project

Manangement Development Program

The Future of Work is impacted by five drivers that are going to affect how we view the work world. India's New Labour Code attempts to encompass these changes through legislation.

  1. Accelerating Technological Change
  2. Growing Demand for Skills
  3. Shifting Labour Demographics
  4. Transitioning Work Models
  5. Evolving Business Environment

Dayananda Sagar University, SCMS conducted a one-day MDP on the New Labour Code, on Saturday, November 04, 2023 and driven by our faculty Dr.Solai Baskaran,Ph.D(IIT, Delhi) and managed by Dr.SaiGanesh Somasekaran, for working professionals from the industry.

The four new labour codes – Code on Social Security 2020, Occupational Safety, Health and Working Conditions Code 2020, Industrial Relations Code 2020, and Code on Wages 2019 – will subsume 29 central labour and industrial laws.

These programs are significant and a need of the hour to reflect the changing times we live in and the new paradigms of work!


Developing New Managers

Management is distinguished as the level of supervision between the entry level employees and organizational leaders. Residing between effective leadership and efficient employees, effective managers are critical to organizational success. Different paths to becoming a manager exist—either through the ranks or through outside accomplishments. Managers must have certain knowledge, skills and abilities (KSAs) to be able to achieve organizational goals and engage employees. Lacking these KSAs, managers will need basic or advanced training, depending on their place within an organization. The training of managers should be an ongoing process, even as managers become proficient at basic levels of business acumen. All managers should be concerned with management development—in terms of both their own and their subordinates' advancement. With our training workshops working executives will be provided the skills they need to succeed as managers in a complex world. By identifying prospective managers early and identifying a clear management track, your company will prosper and thrive with a solid development structure. Becoming a new manager can seem like a daunting and challenging task. To overcome these hurdles let us create an environment where employees know what is expected of them.

With our training, program your employees will gain the support, best practices, and knowledge that is essential for a new manager. The training workshops will help your company develop well rounded, fair and confident managers. By identifying early you will be able to groom prospective candidates and provide the best chance for success.

We can assist you in a wide variety of areas from developing high performing teams, leadership, communication, sales & marketing, sales enablement, finance and operations.

We customize training programs for your specific needs.

Learning and development’s impact on the success of an organization can be significant. You can be assured your corporate training programs will be successful when you have the right training development partner.

The center will cater to executing customized training programs on a need based basis, after carrying out an analysis. Our unique five step approach will add immense value to your organization in terms of enhanced intellectual capital.

Step 1:

We start by analyzing your operating environment, your business and development challenges, and your training-specific needs. Together, we will articulate your development goals and define your overall expectations. And you can rest assured that your input will be central to the process from beginning to end.

Step 2:

During this second step, we choose the people who will lead your training program: the faculty members, experts and/or other specialists who will be working directly with your employees to bring your customized program to life. Based on your predefined objectives and your company’s profile, we will develop the structure and content of your program so that it fits your business and your employees like a glove. It is at this stage that we will determine which teaching methods are the most appropriate in the context.

Step 3:

The sessions can be held at your place of business, in our facilities or at another place of your choosing, here or anywhere else on the planet. Simply select the option that is the most convenient for you. We will ensure that all of the necessary elements are in place to facilitate learning and show participants how to apply their newly acquired knowledge in the workplace.

Step 4:

We will continuously assess and modify the program and pedagogy depending on your feedback. Your concerns will be addressed on an immediate basis.

Step 5:

Our faculty involved with the training program will stay in touch and mentor the trainees on a need basis that is mutually acceptable.

Step 6:

Our training programs offer the following takeaways.

You’ll see concrete improvements in such areas as:

  • Overall employee engagement
  • Motivation within a group to make a real and lasting difference
  • Solutions to company-specific problems
  • Integration of management practices acquired during the course
  • Efficiency in workplace collaboration
  • Technical and functional skill sets.
Benefits:
  • Content that is directly relevant to your organizational challenges
  • Experience-based learning approach
  • Hand-picked instructors
  • Program designed specifically to heighten your business’s productivity and impact
  • Small groups (12 to 20 participants)
  • The training program will be accredited with a certificate from Dayananda Sagar University – Centre for Executive Education.

Post Diploma Certificate in Management (12 Months -36 CR)


The Post Diploma Certificate in Management is a robust general management program for working professionals qualified with a diploma. This program equips an individual with supervisory skills and inculcates leadership capabilities.

Course code Course/Subject Name
18EPG101 Human Resource Management
18EPG102 Accounting for Managers
18EPG103 Marketing Management
18EPG104 Organization Theory
18EPG201 Corporate Finance
18EPG202 Managerial Economics
18EPG203 Business Law, Ethics & Social Responsibility
18EPG204 Corporate Entrepreneurship & Innovation
18EPG301 Operations Management
18EPG302 Global Business
18EPG303 Strategic Decision Making & Management
18EPG304 Research Methodology

About the program:

The Business Application of Artificial Intelligence program from Innosential, in association with Dayananda Sagar University, equips learners with the knowledge and expertise to navigate the impending AI and ML revolution, including AI and ML Engineer certification from Amazon, Google, and Microsoft.

Taught by experts from academia, AI geniuses who have set world-leading AI systems, and practicing data scientists, the program uses Reverse Engineer Pedagogy to give students practical and employment-ready learning along with the opportunity to implement end-to-end MLOps Lifecycle. The program offers deployment-based learning across BFSI, Retail, Healthcare, Manufacturing, Supply Chain, and Automobile industries.

Who is this program for?

  • IT Professionals, Software Engineers, and Data and Business Analysts who want to unlock new opportunities for career growth and chart a cutting-edge career path.
  • Recent Science, Technology, Engineering, and Mathematics (STEM) graduates and academics who want to enter the private sector and scale the positive impact of evolving technologies
  • This program will equip you with the hands-on skills needed to launch and accelerate your career in AI and ML.
  • Outcoming Job Roles: Data Scientist, Machine Learning Scientist, Machine Learning Engineer, Artificial Intelligence Engineer.
Program Prerequisites:
  • A bachelor’s degree or higher in STEM fields
  • Some experience with Python, SQL, Statistics and Calculus
  • Minimum of 2 Years of Software Engineering/Data Science Experience
*Eligibility-based exemption for the two months Foundational Program.

Program Overview:

Foundational Program: 2 Months
  • Inferential Statistics
  • Linear Algebra, Calculus
  • Probability
  • Python Programming
  • Data Structure & Algorithms
  • Exploratory Data Analytics

Module 1: Supervised Machine Learning - 4 Weeks

Learners will be introduced to AI, classical machine learning, and key problems involving tabular data, as well as the underlying machine learning algorithms used to solve these problems. The learners will also get introduced to an end-to-end ML workflow and core algorithms like Regression, SVM, etc.

MLOPS 1: MLOPS Deployment on Amazon AWS - 4 Weeks

The deployment labs in the module focus on building ML Systems in the Amazon AWS SageMaker and cover key tools and APIs in the Amazon MLOps stack. Examples of ML systems: Weather forecasting, Network Intrusion Detection, Credit Risk Analysis, Named Entity Extraction, and Customer Lifetime Modelling.

Module 2: Deep Learning with applications in NLP & Computer Vision - 4 Weeks

Learners are provided with hands-on exposure to understand problems from texts, images, and video data using Deep Learning algorithms like RNN, CNN, Sequence Models, Transformers, Attention, etc. It also covers some key concepts of Language Technologies and Computer Vision fundamentals which are helpful to understand the applications.

MLOPS 2 & 3: MLOPS Deployment on Microsoft Azure & Google Cloud Platform - 4 Weeks

In the deployment sessions MLOps on the Azure ML Studio are used to build ML Systems such as Text Summarization, Image Segmentation, Object Detection, NER, Intent, and Information Retrieval using key libraries such as Hugging Face for implementation, Google's MLOP universe. It is discussed from the ground up and used to build ML Systems like recommender systems and search engines.

Module 3: Unsupervised Machine Learning - 4 Weeks

Learners will learn to solve problems with unlabeled data and understand key concepts that can be used to solve problems such as Search Engines, Text Summarization, Fraud Detection, and Image Recoloring. You’ll also learn about clustering, K-Means, GANs, and other generative models. In the deployment labs MLOPs universe of Google is used to build ML systems like recommender systems and search engines, etc.

MLOPs 4: Designing a Machine Learning & MLOPS System with Kubeflow: 4 Weeks

The learners will get LMS access for 12 months

Applied AI

The following table illustrates a few AI system problem statements along with the Data Formats, Algorithms, and tools that will be taught in the program.

Data Format Problem Statement AI system Algorithms Library & Tools
Tabular NYC-east-river-bicycle-crossings Linear Regression (OLS, GLM)  
  Credit Risk Naive Bayes/Logistics Regression SKlearn
    Trees SKlearn, LightGBM, XGBoost
    SVM SKlearn
Image Image Classification VGGNet, ResNET, U-Net, Yolo, MobileNet OpenCV/TensorFlow/Torch
  Image Segmentation   OpenCV/TensorFlow/Torch
  Object Detection   OpenCV/TensorFlow/Torch
Text Sentiment Classification Logistics Regression SKlearn
  Forecasting ARIMA, Prophet, DeepAR Statsmodel/pymc3/PyTorch/TensorFlow
Transformer (BERT, GPT, etc) NER Sequential Modelling using Transformers (BERT, GPT) Hugging face
  Intent   Hugging face
  Information Retrieval    
  Language Model    
Unsupervised Learning Text retrieval/Search Engine Clustering (K-means, DBScan, Isolation Forest, Topic Modelling (LDA)); Generative Models (V)AE, GAN Hugging Face
  Text summarization   Hugging Face
  Fraud Detection    
  Generating Synthetic Data    
  Image Recoloring DCGAN & WGAN  
  Image Enhancement/ Compression Superpixel  
Reinforcement Learning A/B Testing MAB (Epsilon-Greedy, Thompson Sampling, UCB) Python/Numpy
  Travelling Salesman / Vehicle Routing Q-Learning Python/Numpy
  Adaptive Recommendation DDPG, REINFORCE Python/Numpy

Faculty

Industry experts from Fortune 50 companies by Innosential.

Chirag Ahuja Sr. Applied Scientist, OCI - Oracle Cloud Infrastructure, Oracle
Rishabh Malhotra Sr. Data Scientist, JIO
Bhaskarjit Sarmah VP Data Science, BlackRock
Sahibpreet Singh Data Scientist, Tatras Data Ex Data scientist, ZS, Competition Expert
Subhodeep Dey Data Scientist, JIO Ex - United Health Group
Shivam Mittal SWE Intern Microsoft'22 Kaggle Competitions Expert (Ranked 313) NSUT'23
Shreyans Mehta Chief Data Scientist, ApnaKlub Ex - BlackRock
Vaibhav (Veer) Taneja Data Scientist, Points (a Plusgrade company)       
Aditi Gupta Sr. Data Scientist, Apna, Ex-Data Scientist, Delhivery
Ranraj Singh Senior Data Scientist, Convosight, Ex-Data Scientist, UnitedHealth Group

Top Notch Dayananda Sagar University Program Faculty with a combined experience of over 200+ years.

Professor K. N. Amarnath 30 years of Data Science Experience
Professor H.N. Shankar CEO DDE: ORG, Denmark, 40 years of Data Science Experience
Professor SaiKumar K Chandrashekar 30 years Data Science Experience, Alma Mater, IIM Bangalore
Professor Srinivas Iyengar Vice President, Happiest Minds
Professor Sriramu M.S. IIT-B, Bombay
Professor Thiagarajan Rajagopalan Founder and CEO of Tripeur, BITS Pilani
Professor Nikhil Gupta IIT-Varanasi, MIT (US)

Academic Certification:

Upon completion of this program, you will be awarded an Executive Certificate by Dayananda Sagar University, Bengaluru (SCMS/Executive Education), as well as a certificate of completion from Innosential.


Become a Certified Machine Learning Engineer

This program prepares you for the AI and ML certification exams from Amazon, Microsoft, and Google through MLOPs sprints and mock test prep in the career accelerator. Upon clearing these three exams you receive the following certifications.


Microsoft Certified: Azure AI Engineer Associate

Professional Machine Learning Engineer

Amazon Certified Machine Learning Engineer

*Our course is designed to thoroughly prepare learners to pass above mentioned certifications. While we do not provide certification ourselves, we are confident that our training is highly effective in equipping learners with the knowledge and skills required to succeed in these exams. Certification is awarded solely by the respective providers based on their assessment of a candidate's knowledge and skills, and we cannot guarantee that learners will pass these exams or obtain certification from the aforementioned providers. Nonetheless, we are committed to providing comprehensive and top-quality training that positions learners for success.

Program key Information:

Program to Start: 20th May 2023, Saturday
Last Date to Apply: 12th May 2023, Friday | 20th April 2023 (Early Bird Deadline)
Program Duration Months/Hours: 6 Months/240 Hours
Pre-course Foundational Program: 2 Months/80 Hours (Optional for eligible candidates)

Class Timings

Days/Week Class Time
Monday to Sunday Guided Lab Practise (Complimentary Teaching Support of 21 Hours) 6 PM - 9 PM
Tuesday Theory Class 7 PM - 8 PM
Thursday Deployment Lab 7 PM - 8 PM
Saturday Theory Class 12 PM - 2 PM
  Deployment Lab 4 PM - 6 PM
Sunday Theory Class 12 PM - 2 PM
  Deployment Lab 4 PM - 6 PM

*Please note that the class timings provided are subject to change without prior notice. While we strive to adhere to the schedule as closely as possible, circumstances beyond our control may require us to adjust the timing of certain classes.

Fee structure

Early Bird Pricing/Full Fee
1,80,000 INR (Full Fee)
1,50,000 INR (Early Bird Fee)

Full Fee - Monthly Installments
30,000 INR at Registration,
75,000 INR at Program Start, and
75,000 INR after 2 Months of Program Start

Corporate/Group Fee (min. 3 in group)
1,20,000 INR Corporate Discounted Fee

Special Fee for Dayananda Sagar University Alumni and MBA Students
1,35,000 INR

Scholarships & Discounts
1,35,000 INR Fee for Women candidates
1,35,000 INR Fee for Entrepreneurs

Admission Process

  • Submission of application forms and documents
  • Application review
  • Candidate approval and fee submission

*GST Applicable

To Know more Apply Here!

Contact us:

Christopher D’ Cruz
Phone no: +91 78293 16202
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Divya P
Phone no: +91 9066640675
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Program Partner

https://innosential.com/

 

dsu

 

  • DSU Main Campus:
  • Devarakaggalahalli, Harohalli,
    Kanakapura Road, Ramanagara Dt.,
    Bengaluru – 562 112
    E-mail: admissions@dsu.edu.in

  • DSU City Innovation Campus:
  • Administrative & Main Admission office,
    Kudlu Gate, Hosur Road,
    Bengaluru - 560 068
    Admissions Helpline: 080 46461800 / 080 49092800
    E-mail: admissions@dsu.edu.in | dsat@dsu.edu.in
  • Office of Registrar: 080 4909 2910 / 11
    Office of Dean (School of Engineering): +91 80 4909 2986 / 32 / 33
    Dean - MBA: 080 4909 2931
    Enquiry EMBA: 080 4909 2930
    Research Cell: 080 4909 2912 / +91 97390 17462

  • DSU City Admissions Office:
  • Gate 2, 6th Floor, University Building,
    Dental Block, Kumaraswamy Layout,
    Bengaluru - 560111
    Admissions Helpline: 080 46461800 / 080 49092800
  • E-mail: dsat@dsu.edu.in / enquiry@dsu.edu.in / admissions@dsu.edu.in