Programme Overview

ESADE’s MSc in Business Analytics links the technology with strategy and reveals its transformative power throughout the organisation, including marketing, finance, and operations.
PROGRAMME OBJECTIVES
Participate in multidisciplinary groups working on big data and data analytics projects with a significant business expert.
Develop data analytics projects using Python, R, and the standard libraries & tools.
Contribute to the design of big data & data analytics projects using commercial and open source platforms such as Spark or AWS.
HIGHLIGHTS
Specific pre-programmes for candidates from both technology and management backgrounds.
Meet the leaders: a trip to Silicon Valley to meet company leaders in the digital industry together with university researchers and thought leaders. In this study tour we will have top professors from Haas and Cambridge speaking about FinTech and Data Analytics at Berkeley University of California y we will visit companies such as: Facebook, Wells Fargo, Intuit, etc.
Capstone Project): Work on a real-life project with a leading company and see firsthand how top data scientists operate on a day-to-day basis.
Speaker series: fortnightly sessions with industry and academic leaders followed by networking where thought leaders share their visions.
Pre-Programme

SEPTEMBER 2018

Depending on their academic background, students in the MSc in Business Analytics will be required to complete one of two Pre-Programmes:

1. Business Integration Path (BIP). For students with a non-business academic background. This course starts 3 weeks before the beginning of the regular Master's programme classes and includes an online module which normally starts around the beginning of July.
It consists of:
• 4 self Learning online courses that start on 3rd July and have to be completed before the beginning of the in class courses which take place on Sant Cugat Campus. 
• 3 weeks starting on August (before the Welcome Week) held in class on the Sant Cugat campus:

• Business Policy
• Introduction to Finance
• Introduction to Marketing
• IT for Managers
• Managing People
• Operations and Logistics

 

2. Pre-Programme in Data Science. For students with an academic background in business. It comprises the following subjects:

a. Databases SQL and non-SQL: if you want to analyse data, find patterns, or build big data applications, then you must first understand data and databases and know how to query and retrieve data. In this course, you will learn SQL and the main offers in relational databases, including non-SQL databases.

b. Intro to programming with Python: if you want to work in data science and business analytics you need to know programming. This is a basic skill. Two main languages dominate the scene: Python and R (with newcomers such as Julia). In this course, you will learn the basics of Python programming with a focus on data science and scientific programming.

c. Computer Science 101: This course teaches the essential ideas of Computer Science for a zero-prior-experience audience. Computers can appear very complicated, but in reality, computers work within just a few, simple patterns. In this course participants will play and experiment with short bits of "computer code" to bring to life to the power and limitations of computers.

d. Intro to R – Stats & Analytics: this course uses R for exploring statistics and analytics. We will approach inferences and causality relationships – together with the most common fallacies and basic elements of hypothesis testing, distributions, and descriptive statistics in R.

Welcome Week

SEPTEMBER 2018

The ESADE Welcome Week is designed to help you hit the ground running from day one. You'll get to know the ESADE management teams, find out how the Master's in Business Analytics fits into the broader context of the business school, and enjoy a full run through the programme's academics and career services. You'll learn what is expected of you and we'll help you to make your time at ESADE a success, sharing some proven tips and guidelines. Teamwork is a key element of the Master's programme and you'll have the opportunity to get to know the other MSc participants straight away as you begin your journey together.

Term 1: Foundations | 20 ECTS

SEP-DEC

The term is made up of 5 core courses covering a variety of disciplines:

• Business in the era of A.I. & Cloud
• Innovation & Entrepreneurship
• Artificial Intelligence I
• Cloud Computing
• Business in Society
 

Speaker Series

SEP-JUN

Every two weeks a thought leader in the field will offer a keynote speech focussed on big data, data, and business analytics. These speeches are open to everybody. Special invitations will be issued to members of the big data and data analytics ecosystem. After the speech, a networking session gives the opportunity to meet and chat with leaders from government, industry, and education.

Study Tour & Skills Seminars | 5 ECTS

JAN

Meet the Leaders: It is difficult to understand a field without observing the main protagonists. A trip to Silicon Valley will reveal the key companies in the field, and give you the opportunity to meet the people behind the tools and platforms.
On this trip:
- We will have top professors from Haas and Cambridge speaking about FinTech and Data Analytics at Berkeley University of California.
- We will visit companies such as: Facebook, Wells Fargo, Intuit, etc.

Presentation Skills

Skill Seminars

Terms 2: Specialised Courses | 16 ECTS

FEB - APR

This module will allow you to acquire a deeper understanding. 

 

Specialised courses:

• The Analytic Transformation
• Data Analytics with R
• Artificial Intelligence II
• Cloud Platforms - AWS
 
Terms 3: Electives | 9 ECTS

APR-JUN

The wide range of electives offered during this term will allow you to tailor the programme to your specific career goals.

 

Business Analytics electives:

• Recommender Systems
• Fintech  
• Marketing Analytics
• Digital Marketing Strategy
• Smart Cities
• Advanced Manufacturing & Logistics 
• Thinking with data   

  
Free electives:

• Becoming a Manager
• Business and the Environment
• Business Simulation
• Closing the Gap between Strategy and Execution: Performance Measurement Systems and KPI's
• Co-creation strategies:Innovating together with customers
• Competing with Business Intelligence and Analytics
• Corporate Strategy
• Cross Cultural Management
• Dealing with IPR (Intellectual Property Rights)
• Decision-Making Marketing Research
• Design & Marketing
• Development Tools for Web and Mobile Apps
• Digital Marketing Performance
• Disruptive Management
• Emerging Markets
• Entrepreneurship and Innovation in Healthcare
• Excel: Discovering the power of VBA
• Excellent consulting: The challenge of International Collaboration and Corporate Change
• Executive Corporate Innovation and StartUp Strategies
• Family Business Management
• Finance for Marketing and Sales Managers
• Global Supply Chain
• Historia de la gestión
• Implementing Integrated Communications
• In Search of Principles for a Life Philosophy: Lessons from Art, History and Economics
• Innovation and Enrepreneurship in Clean-Tech and Sustainable Energy 
• Innovation through Design-Thinking
• Leading the Management Consulting Firm
• Leading with Impact: Developing your Leadership Skills, becoming a Leader
• Managing Entrepreneurial Growth
• Managing International Innovation
• Non-market Strategy
• Performance Measurement and Control Systems
• Political Risk Analysis for International Business Growth
• Project Management 
• Retail Innovation
• Sales Management and Getting Your Beachhead Customers
• Social Entrepreneurship and Impact Investment
• Strategic Key Account Management
• Strategic Management of Disruptive Innovation and Exponential Technologies
• Think, Act, Create and Lead
• 8 Lessons from Recent History and Art to Better Understand Barcelona, Catalonia and Spain
CAPSTONE PROJECT | 4 ECTS

FEB-JUN

A fundamental part of the Master of Sciences in Business Analytics will be a real-life project with a leading company. The project will be structured in two short in-company stays (one week each) and off-site work. This is a real business analytics project, with real data that you will present and discuss with the company. Mentors and coaching sessions will help you through the process. You will have the real experience needed for working in business analytics, and the opportunity to meet and experience the real work of a data scientist.

Summer term: Master's Project / Internship | 6 ECTS

JUN-SEP

MASTER'S PROJECT/INTERNSHIP

You can choose from three different formats:
• Business Creation Project, aimed at fostering an entrepreneurial spirit
In-Company Business Project, based on a professional internship (optional) or company project
• Master's Thesis, aimed at demonstrating your research abilities
You will receive full support from your tutors, regardless of the format chosen. You will also have to complete a prior preparation course.

Graduation

LATE OCT

MASTER'S PROJECT DEFENCE & GRADUATION

 

 WHAT TO DO AFTER AN MSc
CEMS
Extend your studies one more year, including a 10-week internship abroad, and make it an incredible international experience.
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Double Degrees

Spend a second year in one of our prestigious partner schools around the world and achieve an official degree from both institutions (External Double Degree), or combine two complementary ESADE MSc programmes to suit your personal career goals (Internal Double Degree).

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