Data Science

Data Science is a program taught at St. Petersburg College, USA. Intake: Fall, Spring. The program is offered in campus-based modes with full-time options.

The Data Science degree program at St. Petersburg College offers an in-depth exploration of data analysis, machine learning, and statistical modeling. As data becomes a cornerstone in various industries, this course prepares students to understand how to interpret complex datasets and draw meaningful insights. Through a blend of theoretical knowledge and practical applications, students will develop skills in programming, data manipulation, and data visualization.

The curriculum is structured to include core subjects such as mathematics, statistics, data mining, and software development. Additionally, students will engage in hands-on projects that allow them to apply their learning to real-world challenges. The program emphasizes critical thinking, problem-solving, and technical expertise essential for successful careers in data science.

Studying Data Science in the university's country offers a unique advantage: access to a growing technology sector, diverse industries keen on data analysis, and a vibrant multicultural environment. The knowledge and skills gained here will equip students to meet the demands of an evolving job market, foster innovation, and drive data-informed decision-making in organizations.

The minimum requirements for admission in Data Science at St. Petersburg College for all applicants (Domestic or International) are:

• program specific academic requirment set by St. Petersburg College.
• English Language OR any other language requirments as set by St. Petersburg College as pre-requiste for admission in Data Science.

Note: Please check the university website in the link below.

Typical entry requirements for the Data Science degree program include:

• A high school diploma or equivalent
• Strong foundational knowledge in mathematics and statistics
• Experience or coursework in computer programming is advantageous
• Ability to demonstrate analytical thinking and problem-solving skills

International students are generally expected to demonstrate proficiency in English through standardized tests. Typical expectations include:

• IETS score of 6.5 or higher
• TOEFL score of 79 or higher (iBT)
• Equivalent scores in other recognized English language proficiency assessments

Please check detail of study units at https://www.spcollege.edu/future-students/degrees-training

• Data Scientist
• Data Analyst
• Machine Learning Engineer
• Business Intelligence Analyst
• Statistician
• Data Engineer
• Research Analyst
• Operations Analyst

80 fully funded scholarships are listed for USA. See USA scholarships.