NOVA IMS - Information Management School
Master's Degree in Data-Driven Marketing, with a Specialization in Marketing Intelligence
Lisbon, Portugal
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2024
TUITION FEES
EUR 6,000
STUDY FORMAT
On-Campus
Introduction
The Master's Degree Program in Data-Driven Marketing, with a specialization in Marketing Intelligence, trains technical and management staff to lead and guide the collection, organization, analysis, exploration, and dissemination of marketing information in organizations.
This program provides a balanced curriculum between a component based on marketing management tools and others supported by information analysis and management methodologies.
This program is held during working hours and is aimed at young graduates and professionals who intend to study on a full-time basis. It is also available in an after-working hours format (after 6.30 p.m.).
This program is held after working hours and is aimed at professionals who intend to make their studies compatible with their professional activities. It is also available in a working-hours format.
Length
This program lasts 4 semesters: 2 correspond to the curricular component and 2 to the development of a thesis, work project, or internship report, in a total of 120 ECTS.
The classes will start in September 2024, end in June 2025, and run during working hours and after working hours (after 6:30 p.m.), 2 to 3 times a week.
Admissions
Scholarships and Funding
The NOVA IMS programs, offer a unique learning experience, combining theory with the application of the best and most innovative teaching practices.
If you are interested in studying at NOVA IMS and want to explore scholarship and award opportunities, this page is your starting point to discover the options available in the different programs.
Curriculum
This program lasts 4 semesters: 2 correspond to the curricular component and 2 to the development of a thesis or work project, in a total of 120 ECTS.
The curricular component (1st and 2nd semesters of the program) corresponds to 60 ECTS, of which 41 are in mandatory course units:
Mandatory course units
- Brand Management
- Consumer Behavior Insights
- Digital Marketing & E-Commerce
- Dissertation/Internship Report/Project
- Market Research
- Marketing Engineering and Analytics
- Marketing Strategy and Innovation
- Research Methodologies
Recommended course units
- Big Data for Marketing
- Data Science for Marketing
- Descriptive Analytics in Marketing
- Digital Analytics
- Experimental Design
- Machine Learning in Marketing
- Predictive Analytics in Marketing
- Search Engine Optimization
- Social Media Analytics
- Social Network Analysis
The remaining 19 ECTS corresponding to the Elective Course Units, will be chosen by the students among a wide range of available course units.
1st year - Fall Semester
- Brand Management
- Digital Marketing & E-Commerce
- Marketing Strategy and Innovation
- Applied Network Analysis
- Business Intelligence I
- Business Process Management
- Data Privacy, Security, and Ethics
- Data Science for Marketing
- Descriptive Analytics in Marketing
- Digital Analytics
- Digital Transformation
- Experimental Design
- Information Management Systems
- Social Network Analysis
1st year - Spring Semester
- Consumer Behavior Insights
- Market Research
- Marketing Engineering and Analytics
- Big Data for Marketing
- Business Intelligence II
- Customer Relationship Management Systems
- Data Visualization
- Data-driven decision making
- Knowledge Management
- Machine Learning in Marketing
- Predictive Analytics in Marketing
- Process Mining Powered By Nokia
- Sampling Theory and Methods
- Search Engine Optimization
- Social Media Analytics
2nd year - Fall Semester
- Dissertation/Internship Report/Project
- Research Methodologies
Program Outcome
Goals
The goal of this program is to train technical staff and managers to:
- Develop strategies, methods, and tools for marketing management
- Be aware of client behavior and create relationship policies
- Master the processes and tools used for the storage, organization, and access to marketing information in organizations
- Use the several methodologies and tools of exploration and analysis, to reduce the levels of uncertainty related to solving marketing problems.