MBA in Healthcare Analytics Online
DURATION
18 up to 36 Months
LANGUAGES
English
PACE
Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Request earliest startdate
TUITION FEES
EUR 3,667 / per year *
STUDY FORMAT
Blended, Distance Learning
* €6000 per year for higher income countries
Introduction
With the ever-increasing in electronic health data, the demand for data analytics in the healthcare domain is also rising.
ESDST MBA in Healthcare Analytics Certificate Program provides students with the knowledge to succeed as a data and operational analyst in health care. It has been designed for working clinicians and IT professionals as well as fresh graduates with an inclination towards life sciences and healthcare.
It combines the much-needed domain knowledge with practical, career-oriented data analytics skills. Students are introduced to the process of selecting, preparing, analyzing, interpreting, evaluating, and presenting data related to health system performance and clinical effectiveness with the various methodologies and tools of data analytics.
Highlights:
- Scope and applications of data analytics in life sciences and healthcare
- Engaging online courses let you schedule your learning around your work and your lifestyle
- Constant guidance and support by industry guides
- Live projects with real-life datasets and complex business problems
- Placement assistance
- Most Popular Analytics Tools used for analyzing healthcare data
- Learn to apply theoretical concepts to solve business problems
- Keeps You Updated on the Latest Industry Trends
- Gain access to industry-leading instructors with significant experience in healthcare analytics
- Many multinational companies are involved in delivering, mentoring, and support
Some of the tools and concepts covered in this program are:
Business Analytics models and algorithms, HR Analytics, Programming with R, SQL, Excel, Tableau, Cloud systems, MongoDB, Machine Learning, Big Data, and many more.
ESDST offers Recognition of Prior Experience (RPE) and thus a formal bachelor’s degree is not mandatory for entering this program.
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.
American Express average salary for marketing analysts is $104,942.
Are you ready to accelerate your career with us?
We start our batches every month! Join today!
Gallery
Ideal Students
No prior technical background is required to enroll in our programs. All learners interested in mastering data-driven decision-making can join.
Anyone aspiring to make data driven decisions can join to learn how to leverage data, understand patient behaviour and predicting treatment as precautionary measure.
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?
Admissions
Scholarships and Funding
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.
Curriculum
- Approximate Course Length: 3-4 weeks
- Total ECTS Credits: 120
- Maximum Number of Transfer Credits: 60
The ESDST Online MBA program in healthcare analytics consists of 24 courses. The course is loaded with multiple hands-on projects/assignments with at least one capstone industry-linked project. Wherein each student will be required to work on a unique, real-world business problem. The duration of each course will be around 3 weeks constituting 5 to 6 ECTS credits. Students must complete all these courses and the capstone project to earn a total of 120 ECTS to qualify for the MBA in Data Science and Machine Learning.
COURSES
Transformational Management (4 ECTS)
Managerial Economics (3 ECTS)
Organizational Behaviour (3 ECTS)
Financial Reporting & Analysis (3 ECTS)
Marketing in a Digital World (3 ECTS)
Data Analysis for Managers (4 ECTS)
> Award of Certificate in Business
Business Analytics and Research Methods Foundation (4 ECTS)
Advanced Excel (4 ECTS)
Programming for Analytics using Python (4 ECTS)
Predictive Analytics Methods (4 ECTS)
Business Communication (3 ECTS)
Professional Career Lab (1 ECTS)
> Award of Certificate in Foundation Business Analytics
Artificial Intelligence and Machine Learning (4 ECTS)
Big Data and NoSQL (4 ECTS)
Data Warehousing and Management (4 ECTS)
Data Visualization and Storytelling with Tableau (4 ECTS)
Ethics in Business Analytics (4 ECTS)
Award of Certificate in Expert Business Analytics
Electives:
Economic Evaluation of Healthcare (5 ECTS)
Digitization in Healthcare (e-health) (5 ECTS)
Econometrics for Healthcare (Data Envelopment Analysis) (5 ECTS)
Big Data and Machine Learning in Health Economics (5 ECTS)
Financial Management and Decision-Making in Healthcare (5 ECTS)
Economic Health Policy Analysis (5 ECTS)
Capstone Consulting Project (30 ECTS)
> Award of Practitioner Badge – Healthcare Analyst
Total ECTS: 120
> Award of MBA in Healthcare Analytics
Program Outcome
The ESDS MBA in healthcare analytics focuses on enabling students to understand the utility of huge volumes of data generated in the healthcare industry. It enables students to guide their statistical and analytical knowledge in performing mundane as well as complicated tasks on sensitive healthcare data. Students will learn to relate data science to the practice, and business of medicine and apply practical knowledge to predict a lot of parameters for patients as well as the medical service providers based on the historical data
Each student at ESDS is matched with an Industry mentor, preferably in the same industry in which the student is working or has aspirations to enter. The mentor guides the student through the course and provides the student with real-life experiential learning along with core learning taking place in the program.
Primary outcomes:
- Build a strong foundation pertaining to the nature and structure of healthcare data
- Be able to segregate the noise from the data
- Build a data-driven approach to approach day to day problems
- Develop an understanding of the various analytics tools prevalent in the healthcare industry