Data Science
Introduction
Data Science is a Bachelor program taught at Montana Tech, 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 Montana Tech focuses on equipping students with the analytical and technical skills necessary to thrive in the rapidly expanding field of data analytics. This program combines the principles of computing, statistics, and domain knowledge to prepare students to interpret and manage extensive data sets.
The curriculum typically includes core courses in programming, statistical analysis, data mining, and machine learning, supplemented by electives that allow students to tailor their education to specific interests or industries. Real-world projects and internships are integral to the program, providing hands-on experience in leveraging data to inform decision-making processes.
Students will gain critical skills in problem-solving, analytical thinking, and the use of advanced software tools, making them versatile candidates in a variety of roles. Studying in Montana offers the unique advantage of learning in a serene and inspiring environment, complemented by networking opportunities with technology firms and potential internships in the region.
Admission Requirements
The minimum requirements for admission in Data Science at Montana Tech for all applicants (Domestic or International) are:
- program specific academic requirment set by Montana Tech.
- English Language OR any other language requirments as set by Montana Tech as pre-requiste for admission in Data Science.
Note: Please check the university website in the link below.
To be eligible for the Bachelor's Degree in Data Science, prospective students typically need a high school diploma or equivalent, with a strong foundation in mathematics and statistics. Some relevant coursework in computer science or related fields may also be advantageous. Admissions may involve an assessment of academic records and standardized test scores.
International applicants are generally required to demonstrate proficiency in English, typically through the IELTS or TOEFL examinations. A minimum score of 6.5 on the IELTS or 79 on the TOEFL is often required, although higher scores may be necessary for competitive admission.
Courses Units
Please check detail of study units at https://www.mtech.edu/academics/programs/index.html
More Information
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Machine Learning Engineer
- Statistical Consultant
- Quantitative Analyst
- Data Engineer
- Research Scientist
Scholarships
80 fully funded scholarships are listed for USA. See USA scholarships.