191 Bachelors Programs in Data Science & Analytics - Universities, Deadlines, Eligibility & Fees

The Bachelor of Applied Data Analytics is a three year full-time (or equivalent part-time) inter-disciplinary degree that is designed to address a global shortage of graduates with skills in data analytics as applied to high-quality, data-informed decision-making. It is designed to develop inter-disciplinary knowledge across the three base disciplines of computing, statistics and social science.  You will receive exposure to best practice in data analytics as well as an opportunity to acquire knowledge in a discipline that relies on data analytics, or deepen knowledge in one of computation, statistics, or social science.

Data Science is a newly emerged program of study for integrated methods used to deal with complex and massive data encountered in every field nowadays. Data science concerns principles and methods applied in a broad array of activities spanning data collection, storage, integration, analysis, inference, reasoning, reporting and ethics. The breadth of these activities defines the interdisciplinary nature of data science programs, which typically entails statistics and computer science in the core curriculum, while embracing other domain sciences.

University of British Columbia offers the Bachelor of Science Data Science, a comprehensive Bachelors course designed to equip students with the essential knowledge and skills in Data Science. The course combines theoretical foundations with practical applications, enabling students to solve real-world challenges in Data Science. With access to cutting-edge resources and mentorship from industry professionals, students will gain invaluable experience and emerge ready to excel in Data Science careers in jobs such as Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer.

The Bachelor of Applied Data Science Advanced (Honours) offered by Monash University is an advanced Bachelors course designed for students aspiring to become professionals in Data Science. Students will gain hands-on experience through practical exercises and real-world projects, allowing them to apply the concepts learned in class. The curriculum is carefully designed to ensure that students develop a strong foundation in Data Science and acquire the skills needed to solve complex problems in the industry. Upon completion of this course, students will be well-prepared to tackle the challenges of Data Science and pursue rewarding career opportunities such as Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer.