Bachelor's in Data Science
Introduction
Data Science is a Bachelor program taught at Manhattan College, USA. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (4 years) options.
The Bachelor's Degree in Data Science at Manhattan College offers a comprehensive curriculum designed to equip students with the essential skills required in today's data-driven world. The program covers fundamental principles of computer science, statistical analysis, and data management. Students will engage in practical projects that enable them to apply theoretical knowledge to real-world scenarios, preparing them for the complexities of data science.
Throughout the course, students will explore various methodologies in data collection, processing, and visualization. The typical structure includes core courses in programming languages such as Python and R, alongside modules in machine learning, database management, and big data analytics. This blend of technical expertise and analytical acumen is crucial for aspiring data scientists.
Moreover, studying Data Science in the United States provides students access to cutting-edge technologies, industry partnerships, and a diverse learning environment. By collaborating with peers from various backgrounds, students will enhance their intercultural competencies, which are vital in global data analysis settings. Gaining hands-on experience through internships and co-op programs is also a key element of the educational experience.
Admission Requirements
The minimum requirements for admission in Data Science at Manhattan College for all applicants (Domestic or International) are:
- program specific academic requirment set by Manhattan College.
- English Language OR any other language requirments as set by Manhattan College as pre-requiste for admission in Data Science.
Note: Please check the university website in the link below.
To enroll in the Bachelor's Degree in Data Science, prospective students are typically required to have a high school diploma or equivalent. Strong performance in mathematics and computer science courses is highly beneficial. A background in statistics or data-oriented subjects will also be advantageous. Additional considerations may include letters of recommendation, personal statements, and relevant extracurricular activities that demonstrate a passion for data science.
International students must typically demonstrate proficiency in English through standardized tests such as IELTS or TOEFL. A common minimum requirement is an IELTS score of around 6.5 or a TOEFL score of approximately 80. However, students are encouraged to check specific score requirements on the official university page, as these can vary by program.
Courses Units
Please check detail of study units at https://manhattan.edu/academics/programs
More Information
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Machine Learning Engineer
- Statistical Consultant
- Data Engineer
- Quantitative Analyst
Scholarships
80 fully funded scholarships are listed for USA. See USA scholarships.