University Master's Degree in Data Science
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Program Overview
University Master's Degree in Data Science
The University Master's Degree in Data Science at the University of Alicante is designed to train specialists capable of identifying, capturing, transforming, analyzing, and interpreting data. The program aims to prepare students in the area of Data Science, promoting the initiation of research tasks and providing the skills to innovate and research in a real working environment.
Objectives and Career Options
The main objective of the Master's Degree in Data Science is to train professionals with expertise in data science who can add value to information. The program provides a broad vision of the different aspects related to data science and the processing of massive data, preparing students for careers as data scientists, data analysts, or big data analysts.
Structure
The Master's Degree in Data Science has a total of 60 credits, divided into:
- Compulsory subjects: 42 credits
- Optional subjects: 12 credits
- Master's Thesis: 6 credits
The program is structured into two semesters:
Semester 1 (30 ECTS)
- Compulsory subjects:
- Statistical Learning (6 ECTS)
- Bayesian Graphical Methods (6 ECTS)
- Pre-processing, Collection, and Visualization of Data (6 ECTS)
- Optional subjects (choose 2):
- Infrastructures and Technologies of Big Data (6 ECTS)
- Extension of Statistics and Optimization (6 ECTS)
- Database Technology (6 ECTS)
- Advanced Programming (6 ECTS)
Semester 2 (30 ECTS)
- Compulsory subjects:
- Machine Learning (6 ECTS)
- Data Mining (6 ECTS)
- Text Mining (6 ECTS)
- Computational Modeling, Simulation, and Optimization (6 ECTS)
- Master's Thesis (6 ECTS)
Teaching Methodology
The program uses a blended learning approach, combining theoretical and practical classes, online activities, and autonomous student work. The teaching methodology includes:
- Theory classes with multimedia materials and guest speakers
- Online theory classes using the flipped classroom methodology
- Computer-based practical classes
- Online computer-based practical classes
- Autonomous student work
- Tutored Master's Thesis
Distinctive Features
The Master's Degree in Data Science at the University of Alicante is characterized by its:
- Interdisciplinary approach, involving the Polytechnic School and the Faculty of Sciences
- Experienced academic staff with a strong research background
- Access to state-of-the-art technological platforms and resources
- Emphasis on practical application and innovation in the field of data science
Resources and Facilities
The University of Alicante provides students with:
- Access to a wide range of classrooms and laboratories
- Technological equipment and software for data analysis and processing
- Online platforms for learning and research, including UACloud, RUA, and OCW-UA
- A comprehensive library with extensive collections and databases
- Support services for student mobility and research
Further Education
After completing the Master's Degree in Data Science, students can pursue a PhD program or third-cycle university studies in related areas.
Career Opportunities
The Master's Degree in Data Science prepares students for careers in:
- Data science and analytics
- Research and development
- Education and academia
- Industry and business
- Healthcare and biomedical research
Scholarships and Funding
Information on scholarships and funding opportunities is available through the University of Alicante's website.
University Life
The University of Alicante offers a range of activities, resources, and services to support students' academic and personal development, including:
- Campus facilities and amenities
- Student organizations and clubs
- Cultural and recreational activities
- Support services for international students and researchers