MSc. Data Science and Artificial Intelligence

TERM I (OCTOBER – DECEMBER)

DATA SCIENCE IN REAL LIFE (4 ECTS)

• Fundamental knowledge of Data Science
• Data Science in a business context
• Understand Data Science applications

STATISTICS ESSENTIAL (4 ECTS)

• Understand the fundamentals of statistics
• Perform hypothesis testing
• Carry out regression analysis

R PROGRAMMING FOR DATA SCIENCE (4 ECTS)

• Learn about math, variables, and strings
• Arrays and matrices, lists, and data frames
• Conditions and loops,

DATA SCIENCE WITH R (4 ECTS)

• Business analytics
• Various R packages
• Master R programming

PYTHON FOR DATA SCIENCE (4 ECTS)

• Implementing concepts of variables
• Understand the nuances of lists
• Work with data in Python

TERM II (JANUARY – MARCH)

DATA SCIENCE WITH PYTHON (4 ECTS)

• Data Science processes, data wrangling, data exploration, data visualization

MACHINE LEARNING (4 ECTS)

• time series modelling
• algorithms, and applications
• statistical and heuristic aspects

TABLEAU DESKTOP 10 (4 ECTS)

• Grasp the concepts of Tableau Desktop 10,
• Master data sources and datable blending,
• Arithmetic, logical, table and LOD calculations

DATA HADOOP & SPARK DEVELOPER (4 ECTS)

• Hadoop Ecosystem
• Sqoop, Flume, and Kafka
• Partitioning, bucketing, and indexing in Hive

DATA SCIENCE CAPSTONE PROJECT (4 ECTS)

• Data Processing
• Model Building
• Model Fine-tuning

TERM III (APRIL – JUNE)

INTRODUCTION TO AI (4 ECTS)

• Fundamental concepts
• Supervised, semi-supervised and unsupervised learning

DEEP LEARNING FUNDAMENTALS (4 ECTS)

• Deep Learning models
• Deep Learning platforms and software libraries

DEEP LEARNING WITH TENSORFLOW (4 ECTS)

• • Linear and non-linear regression Comprehend Convolutional Neural Networks and their applications
• Recurrent Neural Networks (RNN) and Autoencoders

NATURAL LANGUAGE PROCESSING (4 ECTS)

• Text processing and applying TF-IDF
•  Applying parts-of-speech and extraction on focus words

ARTIFICIAL INTELLIGENCE CAPSTONE PROJECT (4

ECTS)

• Exploratory Data Analysis
• Model Building and fitting

DATA SCIENCE CAPSTONE PROJECT/CAPSTONE (6 ECTS)

Comprehensive Capstone Project – MANDATORY CAMPUS WEEK ONE TERM: NETWORKING, FINAL EXAMS