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Bachelor's Degree Full Time

Applied AI & Data Science

at Adrian College · Adrian, Michigan

Duration

4 years

Tuition

On request

Intake

Fall, Spring

Mode

Full Time

About this program

The Bachelor's Degree in Applied AI & Data Science at Adrian College equips students with the essential skills and knowledge in the rapidly evolving field of artificial intelligence and data analysis. The program covers a diverse range of topics, including machine learning, data mining, statistical analysis, and ethical considerations in the use of AI technologies. Students engage in hands-on learning opportunities, working with real-world datasets and employing cutting-edge tools and techniques.

Throughout the course structure, students will complete core courses and engage in projects that promote collaborative problem-solving and critical thinking. With a solid foundation in programming languages and data management, graduates will also develop advanced analytical capabilities that allow them to derive meaningful insights from complex datasets. The curriculum emphasizes experiential learning, often incorporating internships and capstone projects that prepare students for practical applications in the workforce.

Furthermore, studying Applied AI & Data Science in the United States offers unique benefits due to the nation's prominent status in technology and innovation. The program fosters a global perspective, exposing students to a diverse community of peers and industry leaders. Graduates will emerge as skilled professionals ready to meet the demands of a technology-driven world.

Entry requirements

To be considered for admission into the Bachelor's Degree program in Applied AI & Data Science, prospective students typically need to meet the following academic prerequisites:

  • A high school diploma or equivalent with a strong emphasis on mathematics and science subjects
  • Completion of advanced placement or honors courses in relevant fields may be advantageous
  • A competitive GPA as part of the holistic admission review process
English:

International applicants are generally required to demonstrate proficiency in English through standardized tests. Typical benchmarks for English language proficiency include:

  • TOEFL: Minimum score of around 79-80 for standard admission
  • IELTS: Minimum score of approximately 6.5 for eligibility
International students:

International students must adhere to specific admission stipulations, including:

  • Obtaining an F-1 student visa to study in the U.S.
  • Providing proof of sufficient financial resources to cover tuition and living expenses
  • Completion of the I-20 form and SEVIS registration

Career outcomes

  • Data Analyst
  • Machine Learning Engineer
  • Business Intelligence Developer
  • AI Research Scientist
  • Data Scientist
  • Quantitative Analyst

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