European School of Data Science and Technology - ESDST
MBA in Marketing Analytics 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 online MBA in Marketing Analytics at ESDST teaches marketing research, analytics, programming (R, SQL, Excel), visualization (Tableau), cloud, MongoDB, machine learning, big data, NLP. It combines industry-led mentoring, live projects, master thesis and Recognition of Prior Experience so a bachelor’s isn't mandatory. Degrees are awarded with Ascencia Business School (France); ESDST holds Swiss EduQua certification and links to Rushford Business School. Monthly intakes and placement assistance help you move into analytics roles.
Career Outcomes: Graduates can pursue roles such as Marketing Analyst, Business Analyst – Marketing, Marketing Analytics Manager, digital marketing analyst, customer insights analyst or analytics consultant.
In this ever-increasing pile of data and with a never-before focus on marketing strategies, companies are turning heavily on recognizing the “voice of customers”.
ESDST MBA in Marketing Analytics paves the path to understand and approach the intricacies involved in marketing data to reveal insights. This course will make the graduates ready to make an immediate impact by presenting data-driven insights to support business strategy. The curriculum is crafted to combine the specialized education in marketing research methodologies with analytics techniques, thereby making it a full package to take in stride.
The program is equally beneficial to people with prior knowledge of the marketing industry and to new entrants as well, as it thoroughly touches the floor and ceiling of the marketing industry before taking on the application of related data analytics.
Highlights:
- Curriculum designed to be specially focused on Marketing domain
- Online delivery with continuous mentoring and 1 on 1 support
- Constant guidance and support by industry guides from the marketing industry
- Live projects combining the nuances of marketing and analytics scenario
- Placement assistance
- Most Popular Analytics Tools used for analyzing marketing data
- Learn to apply theoretical concepts to solve business problems
- Keeps You Updated on the Latest Industry Trends
- International faculty
- 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, Marketing Analytics, Programming with R, SQL, Excel, Tableau, Cloud systems, MongoDB, Machine Learning, Big Data, Natural Language Processing, 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!
- Approximate Course Length: 3-4 weeks
- Total ECTS Credits: 120
- Maximum Number of Transfer Credits: 60
The ESDST Online MBA program in Marketing 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 andNoSQL (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:
Marketing Strategy (5 ECTS)
Consumer Behaviour (5 ECTS)
Digital Marketing (5 ECTS)
Selling Strategy (5 ECTS)
Internet Marketing Strategy and Analytics (5 ECTS)
Marketing Research (5 ECTS)
Capstone Consulting Project (30 ECTS)
> Award of Practitioner Badge – Marketing Analyst
Total ECTS: 120
> Award of MBA in Marketing Analytics
The ESDST MBA in Marketing Analytics is aimed at providing students an in-depth understanding of the marketing industry and how it is being foraged with the power of analytics. The course design will enable students to learn about the marketing discipline, the nature of data involved, how that data adds value in strategic decision-making, and much more. Sufficient business projects with a focus on deriving insights from marketing data would be assigned. Students will be inherently trained on advanced tools and guidance by industry mentors throughout.
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:
- Analyze simple and complex marketing data to manage various marketing functions as – strategic decision making, maintaining customer relationships to name a few
- Use data to develop models for market basket analysis and recommendation engines
- Narrow down the gap between analytical models and marketing problems with innovative solutions
- Manage data-driven marketing and customer experience tools
- Plan and develop integrated, interactive marketing strategies
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:
- Marketing Analyst
- Business Analyst – Marketing
- Marketing Analytics Manager
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 marketing decisions can join to learn how to leverage data, understand consumer behaviour and prepare wonderful dashboards for decision making.
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?
