44 Data Analytics BSc Degree Programs

The BSc in Physics with Data Analytics is definitely for you if you’d like to work as a physicist in industry, finance, tech or other demanding corporate sectors, where physicists are among those working to interpret that data and revolutionise how technologies are harnessed.

The Bachelor of Science in Data Science is designed to prepare data-driven professionals who can analyze complex datasets and deliver actionable insights. This responds to the growing need for skilled data scientists across all industries, making graduates highly sought after in the job market.

Unlock the power of data with this 100% online BSc (Hons) Data Science. Whether you’re wanting to upskill or are new to the field, you’ll gain the practical experience required for this sector while exploring real-world applications within the professional environment.

The BSc Management, Decisions and Data Analytics (MDDA) program prepares students to solve management and business problems by applying methods such as machine learning, big data analytics and data visualization in the process of decision making. It addresses key managerial and methodological skills for the next generation of young professionals in times of digital transformation.

Our Marketing and Data Analytics BSc equips you with fundamental skills in collecting, analysing, and interpreting marketing data using advanced tools. You'll learn to craft effective marketing strategies, focusing on consumer insight, user experience, and strategy development for success.

APU's BSc (Hons) in Computer Science with a specialism in Data Analytics degree is designed to provide you an edge with the latest technologies that are in line with the Industrial Revolution 4.0.

Graduates of this programme will be prepared for a range of careers in Data Analytics, Business Intelligence, Database Technology, Information Management, System Analysis and Design, and IT Project Management, as well as a postgraduate study in Business Information Systems Management, Information Security Management, and Data Science.

Our Data Science and Analytics BSc will give you the combination of analytical, technical and presentation skills to convert data into valuable insights. In a constantly changing global environment, the massive use of social networks and the Internet of Things are generating a huge and fast-growing amount of data. Data processing is carried out through increasingly complex and sophisticated computer capabilities and algorithmic models, and involves advanced storage technologies such as cloud computing. As a result, there is currently a great need for professionals who can process, understand and present this data in an appropriate and effective way. These skills are much needed by businesses which collect data from customers, partners and from the market in which they operate to support evidence-based decision-making. Governments rely on data to improve their policies and deliver better services as well.

The mission of the Data Analytics program is to provide quality education in the field of data analytics based on internationally recognized standards for undergraduate programs; produce data analysts who can deploy efficiently data analytics technologies and implement solutions according to market and society needs, particularly in the UAE and Gulf region; and prepare individuals for lifelong learning and research.

In 2012, Harvard Business Review called Data Scientist “the sexiest job of the 21st century,” and since then, data science has only increased in demand and popularity! Thiel College data analytics students will obtain the skills necessary to understand and work in the world of data science and are virtually guaranteed to be in demand by a wide variety of industries. This program will provide students with the background necessary to work in a wide variety of fields in which companies must make data-informed decisions to be competitive, as well as provide them with the prerequisites for graduate studies in data science.

Offered in collaboration with the College of Computing and College of Science, the Data Analytics concentration is designed for students who hold an Associate of Applied Science (AAS) degree in a technology-related field. This concentration is designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making. It is aimed at students who wish to become data scientists and analysts in finance, marketing, operations, business/government intelligence, and other information-intensive groups generating and consuming large amounts of data.

This exciting course draws together knowledge of computer science with finance, building your computer literacy skills from the ground up. You’ll master industry-standard software such as Python, R and MATLAB whilst developing your understanding of the theoretical frameworks upon which FinTech and data analytics are based.

Dive into the fascinating world of data science and artificial intelligence with our BSc (Hons) in Computer Science program. This track is designed for students eager to explore cutting-edge technologies and harness the power of data to drive innovation. Through a blend of theoretical knowledge and hands-on experience, students will master essential concepts in data analysis, machine learning, and predictive modeling.

Intelligence Analysis at JMU provides a multi-disciplinary education for students who seek careers as analysts with a specialization in intelligence analysis. Our degree integrates knowledge from a variety of disciplines such as philosophy, history, economics, political science, technology and business. Students learn how to be analysts with courses emphasizing research, reading, thinking, writing, and speaking – and the use of technologies to facilitate that. Topics addressed in our courses cover subjects related to security (such as terrorism or cyber-crime) from any of the eight intelligence domains: national security, military, homeland security, law enforcement, business, private sector security, geospatial, and cyber.