European School of Data Science and Technology - ESDST
MSc in Big Data & Business Analytics Online
Baar, Switzerland
MSc
DURATION
36 months
LANGUAGES
English
PACE
Part time
APPLICATION DEADLINE
EARLIEST START DATE
STUDY FORMAT
Blended, Distance Learning
Key Summary
About: The MSc in Big Data & Business Analytics Online at ESDST delivers online, project-based training in big data, Hadoop, cloud architecture, R, SQL, NoSQL, MongoDB, Hive, MapReduce and Tableau. It includes a Master Thesis, mentoring, monthly intakes and Recognition of Prior Experience (RPE) so a bachelor’s degree isn’t mandatory. ESDST holds EduQua certification, partners with Ascencia Business School and also links to Rushford Business School.
Career Outcomes: Graduates may enter roles such as Big Data Scientist, Big Data Manager, Big Data Specialist, Business Analyst – Big Data, data engineer, or business intelligence developer. Placement assistance varies by prior experience.
Around the globe, data analytics tools, techniques, and a multitude of techniques have provided businesses alarming ways to analyze data and unravel insights. However, the volume and variety of the data have grown exponentially in the past decade owing to the various data sources (social media, e-commerce websites, digital transactions). Big data analytics has emerged as a clever clog to analyze this varied and magnanimous data. This has served as a boon to businesses as it enables them to rummage informed decisions out of the data pile.
Big data analytics comprises advanced analytics involving intricate applications of statistical, mathematical concepts in conjunction with advanced algorithms. This upbeat and hands-on style to reach business decisions is transformative because it empowers decision-makers with the power to make informed decisions to approach real-time business objectives.
The MSc program in Big Data Analytics would allow students to gain an understanding of the various data sources and enable them to study, understand and analyze the data incurred across sources. This program in big data analytics follows a multi-disciplinary approach at its center, focusing on the prevalent as well as evolving 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:
- Carefully and strategically planned curriculum to suit the industry needs with a focus on real-time 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
- Multidisciplinary approach for job readiness
- Projects will be completed using the most popular Big Data 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 R, 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: 18 months
- Total ECTS Credits: 120
- Maximum Number of Transfer Credits: 60
The ESDST Online MSc program in Big Data Analytics consists of a total of 24 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 5 to 6 ECTS credits. Students must complete all these courses and the capstone project to earn a total of 120 ECTS for becoming eligible for the MSc in Big Data Analytics.
COURSES
Business Statistics and Advanced Excel (4 ECTS)
Business Analytics and Research Methods Foundation (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 Business
Big Data and NoSQL (4 ECTS)
Apache Pig, Apache Hive and Zookeeper (4 ECTS)
Spark Programming (4 ECTS)
Data Warehousing and Management (4 ECTS)
Ethics in Data Management (4 ECTS)
> Award of Certificate in Foundation Business Analytics
MapReduce Programming (5 ECTS)
Natural Language Processing (5 ECTS)
Artificial Intelligence and Machine Learning (5 ECTS)
Data Visualization and Storytelling with Tableau (5 ECTS)
Econometrics (5 ECTS)
Business Application Seminar (5 ECTS)
> Award of Certificate in Expert Business Analytics
Capstone Consulting Project (30 ECTS)
> Award of Practitioner Badge – Business Analyst
Total ECTS: 120
> Award of MSc in Big Data and Business Analytics
The ESDST MSc in Big Data Analytics is a first-class program that will help our students in speeding up their vocation development through expertise improvement, innovation information, and critical thinking all through the program. This program would make the students acquainted with the idea, technologies, advancements, and tools in Big Data. With hands-on assignments and projects, students will be equipped with the commonly used programming languages used in Big Data Analytics. The ESDS MSc provides our students with the reputed European MSc degree with a specialization in Big Data Analytics delivered by the accomplished top-tier Industry specialists.
Every student at ESDS is mapped with an Industry guide, ideally in a similar industry in which the student is working or desires to enter. The coach directs the student through the course and gives him/her genuine experiential learning alongside the regular curriculum of the program.
Primary outcomes:
- Builds the competence to assess and analyze huge amounts of data
- Allows students to develop an understanding of various data sources and methods to collate and clean the data
- Shapes the ability to question the objective and application of the data
- Equips the skills on various tools/technology/platforms used in the big data scenario
- Allows an overall development to be job-ready in the big data industry
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 Scientist
- 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?
