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Bachelor's Degree Computer Science & IT Full Time

AI and Quantitative Economics

at State University of New York at Buffalo ยท United States

Duration

4 years

Intake

Fall, Spring

Mode

Full Time

Tuition

On request

About this program

The Bachelor's degree in AI and Quantitative Economics at the University at Buffalo prepares students to tackle complex economic problems using advanced AI techniques and quantitative methods. This interdisciplinary course meshes economics with computer science, providing a comprehensive understanding of both fields. Students will learn how to utilize machine learning algorithms and statistical analysis to interpret economic data and forecast trends.

The curriculum is structured to cover essential topics such as econometrics, data analysis, artificial intelligence applications in economics, and algorithm development. Through case studies and collaborative projects, students gain hands-on experience while developing their analytical and computational skills.

Studying in the United States offers students exposure to cutting-edge research and industry practices. The vibrant economic environment in New York, combined with access to influential tech industries, enhances learning through real-world applications and networking opportunities.

Entry requirements

Typically, prospective students are expected to have a high school diploma with strong performance in mathematics and related subjects. Additional coursework in economics or statistics is advantageous.
English: Students are generally required to demonstrate proficiency in English through standardized tests such as IELTS or TOEFL. A minimum score of 6.5 for IELTS or 80 for TOEFL is often expected.
International students: International students should be prepared to obtain a student visa and provide necessary documentation, which may include proof of acceptance, financial support, and health insurance. It is important to check official government resources for the most accurate visa requirements.

Career outcomes

  • Data Analyst
  • Economic Consultant
  • Financial Analyst
  • Machine Learning Engineer
  • Quantitative Researcher
  • Policy Analyst
  • Investment Analyst
  • Market Research Analyst

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