European School of Data Science and Technology - ESDST
MBA in Big Data Management Online
Baar, Switzerland
MBA
DURATION
36 months
LANGUAGES
English
PACE
Part time
APPLICATION DEADLINE
EARLIEST START DATE
STUDY FORMAT
Blended, Distance Learning
Key Summary
About: The MBA in Big Data Management is an online degree combining data science, analytics and business. ESDST uses project-based learning, a Master Thesis, mentoring and one-on-one support. The curriculum covers Hadoop, MapReduce, Python, SQL, Tableau, cloud architecture, MongoDB, Hive, Apache Pig, NoSQL and web analytics. ESDST accepts Recognition of Prior Experience (RPE) and is EduQua certified. Monthly intakes.
Career Outcomes: Students receive placement assistance based on prior experience and may pursue roles such as Big Data Analyst, Big Data Manager, Big Data Specialist, and Business Analyst (Big Data) or related positions in data analytics, business intelligence and data management.
Big Data Management has taken up the top pedestal across the globe. Be it industry or academia, Big Data analytics is the primary focus. The reason for it is data has been growing by leaps and bounds. As a result, businesses increasingly need candidates who can quickly analyze and understand the implications of huge amounts of information.
The MBA program in Big Data Management would enable students to sort and analyze the data and fetch valuable organizational insights from it. The application of big data analytics extends to a multitude of areas of business including finance, marketing, supply chain, and more. The postgraduate program in big data analytics involves a multi-disciplinary approach wherein special attention is given to the emerging Big Data tools like Hadoop and Cloud Architecture. This program is everything one would need to make an effective career shift and delve into the world of big data analytics.
Highlights:
- Meticulously designed curriculum to suit the industry needs and focused on the practical applications
- Online delivery with continuous mentoring and 1 on 1 support
- Best in class mentors and teachers coming across from international institutes around the globe
- Guided live projects from various industries in all the relevant courses
- Placement assistance
- Projects will be done on the most popular Analytics Tools
- Application of theoretical concepts to solve business problems
- Exposure to the latest Industry Trends
- International faculty
- Many multinational companies are involved in delivery, mentoring, and support
Some of the tools and concepts covered in this program are:
Big Data Analytics, Hadoop, Programming with Python, Map Reduce Programming, SQL, Excel, Tableau, Cloud systems, MongoDB, Hive, Apache Pig, NoSQL, Web Analytics, 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.
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!
- Approximate Course Length: 3-4 weeks
- Total ECTS Credits: 90
- Maximum Number of Transfer Credits: 30
The ESDST Online MBA program in Big Data Management consists of a total of 18 courses, multiple hands-on projects, and at least one capstone industry-linked project where every student will work on a real business problem. Each course lasts approximately 3 weeks and is comprised of 4 to 6 ECTS credits. Students must complete all these courses and the capstone project to earn a total of 90 ECTS for becoming eligible for the MBA in Big Data Management.
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)
Programming for Analytics using Python (4 ECTS)
Predictive Analytics Methods (4 ECTS)
Business Communication (3 ECTS)
Advanced Excel (3 ECTS)
Professional Career Lab (1 ECTS)
> Award of Certificate in Foundation Business Analytics
Big Data and NoSQL (4 ECTS)
Apache Pig, Apache Hive and Zookeeper (4 ECTS)
Spark Programming (4 ECTS)
Data Warehousing and management (4 ECTS)
Econometrics (4 ECTS)
> Award of Certificate in Expert Big Data Management
Capstone Consulting Project (30 ECTS)
> Award of Practitioner Badge – Big Data Manager
Total ECTS: 90
> Award of MBA in Big Data Management
The ESDST MBA in Big Data Management is a top-notch program that will assist our graduates in accelerating their career growth through skill development, technical knowledge, and problem-solving throughout the program. This program would make the students familiar with the concept, tools, technologies, and terminologies in Big Data, with proper exposure and hands-on exercises/projects on relevant tools. The ESDST MBA provides our students with the competitive advantage of a reputed European MBA degree with a specialization in Big Data Management delivered by experienced best-in-class Industry experts with several years of experience in problem-solving using real-life data.
Each student at ESDST 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:
- Develops the capability to read and understand a huge amount of data, skim out the relevant pile to work with
- Enables students to gain an understanding of various methodologies to clean/analyze the data from various sources
- Builds the capability to question the validity and usage of the data received, and its relevance to solving the problem at hand
- Develops the ability to adopt various tools/technology/platforms used in the big data scenario
- 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.
Successful completion of the program would ensure placement assistance to the students, governed by their prior work experience. Majorly, students can take up any of the following roles :
- Big data Analyst
- Big Data Manager
- Big Data Specialist
- Business Analyst – Big Data
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?
