MSc in Business Analytics
Lisbon, Portugal
DURATION
3 up to 4 Semesters
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Request the earliest start date
TUITION FEES
EUR 14,200 *
STUDY FORMAT
On-Campus
* 4 semester track (includes an exchange semester)| 3 semester track: 12200€
Introduction
MSc in Business Analytics program provides specialized and comprehensive training in data science and business analytics. You will learn to structure data analytics problems and use state-of-the-art tools and techniques to design solutions for real business challenges. At the same time, you'll develop the critical skills for successful leadership in modern, data-driven organizations. At Católica-Lisbon, you will have access to a broad international network of students, faculty, and alumni, facilitating co-learning, sharing best practices, and networking opportunities
Key Features
Top-level faculty in the field of Data Science and Business Analytics.
This unique learning experience balancing theory and application, technical and managerial skills, will prepare you for a meaningful and impactful career in an increasingly data-driven and data-centric business world.
Applied projects using current, real-world datasets.
Personalized attention to each student, from entry to placement
Training on key programing languages and data analysis and visualization programs: Python, R, SQL
Possibility of doing a Capstone project instead of a thesis. So that you can prove your skills through solutions or new ideas instead of pure analysis.
What Does it take to become a visionary in Business Analytics?
Raise your Academic Profile
Build on the decades of scientific knowledge of Católica-Lisbon in courses and projects. Learn from the expert faculty and practitioners in a chosen specialization. Then develop your own contribution to the chosen field of management in a Dissertation project. When we say "Master of Science," we mean every word.
Supercharge your technical skills
Accelerate your professional growth
There is no single formula for personal success. We help you calibrate the professional element of yours. From empirical studies to experience-enhancing projects, the goal of this program is to elevate your career options.
Tap into our School's connections to the corporate world
Being a graduate from Católica-Lisbon connects you to the ecosystem of innovators, start-ups, international corporations and non-profit organizations.
Predict the future and create your own
Literally.The need for data-driven decisions is a business reality of most firms and organizations. Developing your expertise in business analytics is a way to future-proof your career.
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Admissions
Scholarships and Funding
Católica Top+ is a merit scholarship program for Master's students of all nationalities.
Implemented by Católica-Lisbon, this program allows high-potential students to complete their MSc with a partial waiver of tuition fees for the regular track of the program (3 semesters at our School; exchange semester excluded).
We encourage outstanding students to apply for this scholarship, especially those that have completed their first cycle degree at the top of their classes.
The following criteria are highly valued in the evaluation of the candidates for Católica Top+:
- Undergraduate academic record;
- International experience;
- Professional experience (e.g. internships);
- Extracurricular activities;
- Potential contribution to the community of Católica-Lisbon;
NOTE: Double Degree and Joint Degree students can only be granted a scholarship in the 1st year.
Curriculum
The Master of Science in Business Analytics is organized into Business Analytics Fundamentals Courses, Business Management & Economics Courses, Analytics Practices Courses, and Electives Courses, providing students with specialized and comprehensive training in data science and business analytics.
Program Coursework
The coursework for the Business Analytics program consists of Core Courses of Business Analytics, and Elective Courses. Apart from that, Career Accelerator Lab and LERNE Sessions are also part of this coursework.
Semester 1
Business Analytics Fundamentals
The Business Analytics Fundamentals provide students with the foundational knowledge necessary for successful Business Analytics. Courses in this area will teach students the best practices in data acquisition, management, and analytics while developing their statistical and programming knowledge and skills.
- Data Visualization (3.5 ECTS)
- Foundations of Statistics with Applications in R (7 ECTS)
- Introduction to Programming (7 ECTS)
- Time Series Econometrics (3.5 ECTS)
Business Management & Economics
These courses aim to focus on developing the critical skills necessary for successful leadership in organizations.
- Data Privacy and Ethics (3.5 ECTS)
- Managing People (3.5 ECTS)
Semester 2
Business Analytics Fundamentals
The Business Analytics Fundamentals provide students with the foundational knowledge necessary for successful Business Analytics. Courses in this area will teach students the best practices in data acquisition, management, and analytics while developing their statistical and programming knowledge and skills.
- Causality & Randomized Experiments (3.5 ECTS)
- Database Management (7 ECTS)
Business Management & Economics
These courses aim to focus on developing the critical skills necessary for successful leadership in organizations.
- BME Elective (3.5 ECTS) or Fundamentals of Business & Economics (3.5 ECTS)*
* This course is mandatory for students without a background in business management or economics. Students with this background may replace it with a free Business Management & Economics Elective.
Analytics in Practice
These courses will focus on the development of data analytics solutions for actual business challenges.
- Advanced Topics in Predictive Analytics (3.5 ECTS)
- Predictive Analytics (3.5 ECTS)
Elective Courses
During this semester there may be up to two elective courses from the list of electives below.
- Elective Course (3.5 ECTS)
- Elective Course (3.5 ECTS)
Semester 3 (optional)
The MSc in Business Analytics allows you to have a Master's Exchange semester in one of our many international Partner Universities during the 3rd semester.
Alternatively, in the 3rd semester of the program, you may take an academic break to pursue a full-time internship before your thesis semester.
If you do not wish to pursue an exchange or academic break for a full-time internship, your 3rd Semester will be the Dissertation Semester.
Dissertation Semester
The Master's dissertation is the culmination of your master's program. This is when you build on the knowledge and skills acquired during the program to develop an individual project on a topic that resonates with your career aspirations and helps you excel in an area you find professionally relevant. At Católica-Lisbon there are two models for dissertation supervision – an Independent Process, or a project developed in the Dissertation Seminar.
Most of our students develop their industry or academic research in a dissertation seminar supervised by an expert in a specific area. Here is a selection of Dissertation Seminars offered in 2022/2023. This list is updated every year to reflect the topics of interest for our master's students and their relevance to companies.
- Conduct your own end-to-end analytics project
- Using Interpretability and Explainability in Machine Learning as a Tool for Decision Making
- Disruptive Forecasting and Business Analytics
In this Master's Program, it is also possible to do a Capstone Project - a project in which students will apply the tools and techniques learned throughout the program to a real-world Business Analytics challenge or research topic. This project may be developed collaboratively in teams of students who will then prepare and present an individual report on the team’s project expanding on an aspect or set of aspects of their particular interest or to which they contributed the most.
During this semester, you can also enroll in up to 2 elective courses (3.5 ECTS each).
The Dissertation Semester will take place in the last semester of the Master's Program.
Program Tuition Fee
Accreditations
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.