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Take your skills to new heights with this DBA program from the Swiss School of Business and Management in Geneva. Made for experienced executives and business leaders, this program prioritizes hands-on learning to refine your leadership, strategic thinking, and decision-making skills. SSBM, a global business school, has developed this DBA program in collaboration with experienced industry partners. Receive guaranteed Swiss-quality education with this DBA degree.
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Course PreviewLearning Format
Online
Program Duration
36 Months
Career Services
by Intellipaat
DBA
by SSBM
EMI Starts
at ₹8,000/month*
This course was designed to empower experienced professionals with advanced knowledge and research skills to enable them to drive innovation. Upon completion, learners will be awarded an DBA degree from SSBM, Geneva.
About SSBM (Swiss School of Business and Management, Geneva)
SSBM is a renowned college in Geneva, Switzerland, and is known for its Swiss-quality education and excellence all over the world. The institute has partnered with over 30 top companies to design its courses and has a remarkable set of alumni across the globe.
Key Achievements:
Upon Completion of this course, you will:
About iHUB DivyaSampark, IIT Roorkee
iHUB DivyaSampark aims to enable innovative ecosystem in new age technologies like AI, ML, Drones, Robots, data analytics (often called CPS technologies) and becoming the source for the next generation of digital technologies, products and services by promoting, enhancing core competencies, capacity building, manpower training to provide solutions for national strategic sectors andRead More..
Key Achievements of IIT Roorkee:
Guiding the operational course of an organization requires adept high-level executives. Businesses value professionals who guarantee the achievement of their objectives. A DBA will furnish you with the sharp insight and capabilities needed for this role.
Economists drive a nation’s economy by researching, analyzing data, and tracking consumer trends. They also address resource distribution and work to bridge any gaps.
DBA offers a definite way to launch your career in academics. Universities consistently seek skilled and knowledgeable teaching faculty, making the DBA an ideal choice if you are enthusiastic about pursuing a career in teaching.
The role involves managing a firm’s liquid assets, capital, and risk, along with assessing the creditworthiness of its counterparties.
They analyze risks associated with major business decisions and develop scenarios to avert future damage to the company.
The HR director oversees organizational staffing, managing recruitment, hiring, training, performance evaluations, and addressing disciplinary matters, including termination.
Skills to Master
Leadership
Accounting
Entrepreneurship
Business Ethics
Financial Management
Corporate Finance
Managerial Economics
Strategy Management
Research
Concept Paper – This is a short summary that provides a high-level idea of the topic the learner would like to research.
Literature Review – This is a thorough, systematic, and advanced summary of the literature to be used for research.
Research Proposal – This is the guiding document that provides details about the research and why it is important.
Dissertation/Thesis
Case Study
Writing comparison data between past year to present year with respect to top products, ignoring the redundant/junk data, identifying the meaningful data, and identifying the demand in the future(using complex subqueries, functions, pattern matching concepts).
Introduction to Python and IDEs – The basics of the python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc.
Python Basics – Variables, Data Types, Loops, Conditional Statements, functions, decorators, lambda functions, file handling, exception handling ,etc.
Object Oriented Programming – Introduction to OOPs concepts like classes, objects, inheritance, abstraction, polymorphism, encapsulation, etc.
Data Manipulation with Numpy, Pandas, and Visualization – Using large datasets, you will learn about various techniques and processes that will convert raw unstructured data into actionable insights for further computations i.e. machine learning models, etc.
Case Study – The culmination of all the above concepts with real-world problem statements for better understanding.
Descriptive Statistics
Probability
Inferential Advanced Statistics (by Academic Faculty)
Case Study
This case study will cover the following concepts:
Introduction to Machine learning
Regression
Classification
Clustering
Supervised Learning
Unsupervised Learning
Making use of time series data, gathering insights and useful forecasting solutions using time series forecasting.
Business Domains – Learn about various business domains and understand how one differs from the other.
Understanding the business problems and formulating hypotheses – Learn about formulating hypotheses for various business problems on samples and populations.
Exploratory Data Analysis to Gather insights – Learn about the exploratory data analysis and how it enables a fool proof producer of actionable insights.
Data Storytelling: Narrate stories in a memorable way – Learn to narrate business problems and solutions in simple relatable format that makes it easier to understand and recall.
Case Study
This case study will cover the following concepts:
Feature Selection – Feature selection techniques in python that includes recursive feature elimination, Recursive feature elimination using cross validation, variance threshold, etc.
Feature Engineering – Feature engineering techniques that help in reducing the best features to use for data modeling.
Model Tuning – Optimization techniques like hyperparameter tuning to increase the efficiency of the machine learning models.
Problem Statement and Project Objectives – You will learn how to formulate various problem statements and understand the business objective of any problem statement that comes as a requirement.
Approach for the Solution – Creating various statistical insights based solutions to approach the problem will guide your learnings to finish a project from scratch.
Optimum Solutions – Formulating actionable insights backed by statistical evidence will help you find the most effective solution for your problem statements.
Evaluation Metrics – You will be able to apply various evaluation metrics to your project/solution. It will validate your approach and point towards shortcomings backed by insights, if any.
Gathering Actionable insights – You will learn about how a problem’s solution isn’t just creating a machine learning model, the insights that were gained from your analysis should be presentable in the form of actionable insights to capitalize on the solutions formulated for the problem statement.
Customer Churn – The case study involves studying the customer data for a given XYZ company, and using statistical tests and predictive modeling, we will gather insights to efficiently create an action plan for the same.
Sales Forecasting – By studying the various patterns and sales data for a firm/store, we will use the time series forecasting method to forecast the number of sales for the next given time period(weeks, months, years, etc.)
Census – After studying the population data, we will gather insights and through predictive modeling try to create actionable insights on the same, it could be average income of an individual, or most likely profession, etc.
Predictive Modeling – Various case studies on categorical and continuous data, to create predictive models that will predict specific outcomes based on the business problems.
HR Analytics – Based on the data provided by a firm, we will study the HR analytics data, and create actionable insights using various statistical tests and hypothesis testing.
Dimensionality Reduction – To understand the impact of multidimensional data, we will go through various dimensionality reduction techniques and optimize the computational time on the same that will eventually be used for various classification and regression problems.
Housing – A case study that will give you insight into how real estate firms can narrow down on the pricing, customer choices, etc. using various predictive modeling techniques.
Customer Segmentation – Using unsupervised learning techniques, we will learn about customer segmentation, which can be quite useful for e-commerce sectors, stores, marketing funnels, etc.
Inventory Management – In this case study, you will learn about how meaningful insights can be used to drive a supply chain, using predictive modeling and clustering techniques.
Disease Prediction – A medical endeavor that is achieved through machine learning will give you an insight into how the predictive model can prove to be a great marvel in early detection of various diseases.
Excel Fundamentals
Excel For Data Analytics
Data Visualization with Excel
Ensuring Data and File Security
Getting started with VBA Macros
Statistics with Excel
Power BI Basics
DAX
Data Visualization with Analytics
Case Study:
This case study will cover the following concepts:
Admission Details
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Submit Application
Tell us a bit about yourself and why you want to join this program
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates will be notified within 1–2 weeks
Total Admission Fee
EMI Starts at
We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs
Financing Partners
Admissions are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.
Date | Time | Batch Type | |
---|---|---|---|
Program Induction | 14th Dec 2024 | 08:00 PM IST | Weekend (Sat-Sun) |
Regular Classes | 14th Dec 2024 | 08:00 PM IST | Weekend (Sat-Sun) |
Learners must have completed a master’s degree to be eligible for this DBA program from SSBM. Candidates must be comfortable with English as all classes will be conducted in English only.
In the present professional landscape, possessing knowledge and skills in management and administration is essential for career progression. This certification, led by prominent experts from SSBM, aims to support you in launching a successful managerial career by leveraging their extensive industry-relevant experience.
Also, the course curriculum, along with videos, live sessions, and assignments, will help you gain in-depth knowledge of the modern business environment and processes.
The instructors for this DBA program are accomplished experts and leading academics from SSBM.
Yes, please speak to the course advisor for more details.
The DBA program from SSBM, Geneva has a total duration of 36 months.
SSBM Connect is a global platform provided by the university, fostering student interaction, engagement, and communication with fellow students, alumni, professors, and industry partners.
To register for the program, you can reach out to our learning consultants or contact us through the above-given details on this page.
Intellipaat actively supports all learners who successfully complete the training by offering placement assistance. Through our exclusive partnerships with over 80 leading multinational corporations globally, you have the opportunity to secure positions in renowned organizations like Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, Cisco, and other equally esteemed enterprises. Additionally, we provide assistance with job interviews and résumé preparation.
What is included in this course?