European School of Data Science and Technology - ESDST
DBA in Data Science Online
Baar, Switzerland
DBA
DURATION
3 years
LANGUAGES
English
PACE
Part time
APPLICATION DEADLINE
EARLIEST START DATE
STUDY FORMAT
Distance Learning
Key Summary
About: The Doctorate of Business Administration (DBA) in Data Science Online trains business leaders to make data-backed decisions. It focuses on data cleaning, assessing reliability and validity, quantitative research methodology, statistical analysis, and practitioner-led project-based learning. You’ll get industry mentorship, live projects with real datasets, and a dissertation solving a real business problem. The programme is online, offers monthly intakes, and is Swiss EduQua certified; degrees are awarded in partnership with Ascencia Business School, France, and ESDST is linked to Rushford Business School and IACBE membership.
Career Outcomes: You can pursue CEO, Business Analytics Manager, Data Manager, Data Scientist roles.
ESDST’S Doctorate of Business Administration in Data Science focuses upon creating business leaders with exceptional data-backed decision-making capabilities. The program aims at broadening the mindset to review the data set and recommend meaningful solutions for the given scenario.
The program involves generating awareness on every step of statistical analysis which includes cleaning the data, assessing the reliability and validity of the data. This program specifically prepares you on designing and execute a research methodology that is quantitative in nature to solve a real business problem.
The key distinction in our DBA in Data Analytics is to learn from practitioners at every stage which enables you to learn a more practical approach in gathering new information, process complex data, and analyze the same to suggest business solutions. The program follows a practitioner mentor – research scholar approach wherein each research scholar is assigned a mentor who is practicing in the industry.
Highlights:
- Scope and applications of data analytics to solve wider level business problems
- Engaging online courses let you schedule your learning around your work and your lifestyle
- Constant guidance and support by industry mentors
- Live projects with real-life datasets and complex business problems
- Prevalent business problems and application of data analysis to deliver a solution
- Learn to apply theoretical concepts to solve business problems
- Keeps you updated on the latest industry trends
- Value-added real-life guidance and project discussion with the industry experts
- Many multinational companies are involved in delivering, mentoring, and support
- Dissertation on solving a real business problem with systematic analysis of data
Accreditations:
European School of Data Sciences & Technology (ESDST) is a Swiss EduQua certified institution with the certification number CH23/00000103. EduQua certification is a testament to the quality of education offered by ESDST.
Our degrees are awarded in partnership with Ascencia Business School, France. With 5 campuses in France and multiple study centers in the middle east, Ascencia Business School is recognized by the French Ministry of Labor within the National Directory of Professional Certification (RNCP). It is also approved by WES and boasts of over 6500 alumni from 75 countries.
ESDST is the data school of Rushford Business School, which is based in Geneva, Switzerland. The school offers higher degree programs in Business and Management. The school offers unique MBA programs in varied specializations such as agribusiness, finance & investment, marketing, clinical research.
ESDST as a data school of Rushford Business School is a member of IACBE.
The average salary range for Quantitative Data Analysts in the USA is between $112,402 and $142,709.
Are you ready to accelerate your career with us?
We start our batches every month! Join today!
DBA- Data Science is planned to be delivered 100% online, with all material and resources included and provided through ESDST e-campus.
The program comprises 6 modules per year for 2 years along with the value-added seminars and the written assignments accompanying each module. The aim of these modules is to empower scholars on designing data-driven research methods and analysis which is good for the business and society at large. The taught modules contain research modules, domain-specific modules like Data Science or data science, etc, value-added seminars.
In addition to the taught modules, scholars are guided continually through five residencies starting from Year 1. The students’ residencies can be conducted offline or online depending upon the number of participants and their locations.
The writing targets for scholars to produce their research output in terms of publications, writing research proposals, carry data collection, teaching initiatives, etc. are also the main learning vehicle for the scholars. These are the tangible outcomes scholars produce and attain skills necessitated to conduct real research and corresponding recommendations for business problems.
Year 1
Research Modules
- Introduction to Academic Research
- The landscape of Literature Review
- Research Design
Business Analytics Modules
- Business Analytics Foundation
- Predictive Analytics Methods
- Programming for Analytics using R
Scholars’ Output
- Research Proposal
Year 2
Research Modules
- Designing a quantitative research methodology
- Quantitative Research Methodology: Data Collection and Hypothesis Testing
- Report Writing
Business Analytics Modules
- Data Warehousing and management
- Business Decision Making using Analytics
- Data Visualization and Storytelling with Tableau
Scholars’ Output
- Extensive Literature Review
- Data Collection and Pilot Study
Year 3
Research Modules
- Individual and Guided Work
Business Analytics Modules
- Practitioner Mentor – Research Scholar
Scholars’ Output
- Doctoral Residency -1
- Doctoral Residency -2
Year 4
Research Modules
- Individual and Guided Work
Business Analytics Modules
- Practitioner Mentor – Research Scholar
Scholars’ Output
- Ph.D. Pre-Defense
- Ph.D. Defense
Personal Growth
- Publication in a peer-reviewed Journal – 1 per year
- Participation in Conference
- Teaching and Peer-collaborative learning
ESDST DBA-Data Science is a recognized degree that is delivered 100% online, with a possibility to visit campus for Residency programs. It provides you the flexibility to pursue your work and integrate learnings from your DBA immediately to solve a real business problem your company might be facing. This andragogy enables you to implement the learnings and reflect critically upon business scenarios which are essential for continuous learning. The assignments and report writings are also one of the learning vehicles which help to develop skill-sets such as communication skills, critical cognition, etc. imperative for one’s professional growth.
Practitioner Mentor – Research Scholar approach is specially designed to allow our scholars to learn from mentors who are engaged in solving real-world business problems. You being a practitioner is learning from Professors and practitioners from around the world. This provides the best combination for reflective higher-order learning. The residency workshops allow you to consolidate your learnings in individual modules and guides you to prepare tangible outputs. The writing targets enhance your skill-set, which prepares you to be the best in the industry.
Primary outcomes:
- Scan the business environment and identify data employment for making business decisions.
- Considering environmental and ethical factors, prepare research design to analyze complex, real-world problems.
- Develop technical communication skills to communicate the results effectively through utilizing Data Visualization Tools.
- Cultivates values and attitudes that make participants agents of critical change and performance upliftment.
- Comprehend information analytically through the process of research and inquiry while making effective decisions in a global environment.
- Build the positive perspectives and skills that create productive managerial leaders and business networks to create world-class teams.
Inclusivity in education is essential to us, and we strive to ensure that no one is excluded due to differing income levels across countries. Hence, we're pleased to announce our commitment to inclusion by offering a reduced fee of up to 40% for individuals from lower and middle-income brackets. Please refer to our program pages for details on the adjusted fees.
After completing the program, the career path will be influenced by what stage of cognition the student is in. For working professional students, the positive impact of the program happens from the first day since the student can apply the knowledge and skills right away at work.
Students can target any of the following roles:
- Chief Executive Officer
- Business Analytics Manager
- Data Manager
No prior technical background is required to enroll in our programs. All learners interested in mastering data-driven decision-making can join.
Our academic committee has thoughtfully designed a curriculum covering basics to advanced levels, alongside a didactic model offering flexibility in learning duration. Our didactic model follows a modular system of delivery, allowing you to learn, research, and become an expert in one module before progressing to the next.
Our experiential learning approach teaches you how to consistently utilize data tools for business decision-making.
Regardless of your field—finance, human resources, marketing, operations, etc.—your recommendations carry more weight when supported by data. This emphasis on data-driven decision-making is central to our teachings!
Are you ready to accelerate your career growth?
Demonstrate your commitment and readiness to succeed in business school by taking the GMAT exam – the most widely used exam for admissions that measures your critical thinking and reasoning skills. Download the GMAT mini quiz to get a flavour of the questions you’ll find in the exam.
Take the quiz
