M.A. Applied History and Public Humanities
The M.A. in Applied History and Public Humanities at The University of Akron combines h...
B.S. Data Science
Akron, Ohio
INTAKE: Jan & Aug
Program Overview
The B.S. in Data Science at The University of Akron is designed to equip students with the skills needed to thrive in the rapidly growing field of data analytics. This interdisciplinary program integrates computer science, mathematics, and statistics to prepare students for careers as data scientists, analysts, and consultants.
STEM-Designated: This program holds STEM designation, emphasizing rigorous training in science, technology, engineering, and mathematics. This recognition underscores the program's focus on quantitative skills and its alignment with industry demands for data-driven decision-making.
Curriculum: The curriculum of the B.S. in Data Science covers foundational courses in programming, database management, statistical analysis, machine learning, and data visualization. Students gain hands-on experience with tools like Python, R, SQL, and Hadoop, essential for analyzing large datasets and extracting meaningful insights.
Research Focus: The program emphasizes research in data science through projects, internships, and collaborations with industry partners. Students have opportunities to apply their skills to real-world problems in areas such as healthcare informatics, business analytics, cybersecurity, and artificial intelligence.
Industry Engagement: The University of Akron fosters strong ties with industry leaders, offering students access to internships, co-op programs, and industry-sponsored projects. This engagement ensures that students gain practical experience and networking opportunities that enhance their career readiness upon graduation.
Global Perspective: With a global perspective integrated into the curriculum, the program prepares students to navigate diverse cultural and international business environments. Courses and projects incorporate global data challenges and ethical considerations, preparing graduates to work in multinational corporations or pursue international research collaborations.
Location
Akron, Ohio
Score
IELTS 6
Tuition Fee
USD 20961
Undergraduate Entry Requirements
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 65% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.0 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 71 or higher.
- DET (Duolingo English Test): Minimum score of 95.
- SAT: Not required for undergraduate admissions.
The University of Akron (UA) offers a variety of scholarships to support international students financially. These scholarships are designed to help alleviate the cost of tuition and support academic excellence.
Merit Scholarships: Merit scholarships at UA are automatically considered for all incoming first-year students. These awards are based on a comprehensive review of the applicant’s academic transcripts, curriculum, and cumulative GPA.
Williams Honors College Scholarships: First-year, transfer, and continuing students who meet specific academic qualifications can apply for the Williams Honors College Scholarships. These scholarships range from $1,500 to $2,000 and require an application to the Williams Honors College, including an interview.
Provost’s Scholarships for Transfer Students: These scholarships, ranging from $1,000 to $5,000, are available to students transferring from another regionally accredited college or university. Transfer students are automatically considered for these awards upon applying for admission.
International Student Scholarship Opportunities: International students can also benefit from various specific scholarships offered by different departments and programs within the university. For instance, the Buchtel College of Arts and Sciences offers numerous scholarships for students pursuing majors within their disciplines. These range from awards for academic merit to those supporting specific fields of study.
Graduates of the B.S. in Data Science from The University of Akron are well-prepared for diverse and in-demand career opportunities in the rapidly expanding field of data analytics.
Data Scientist: Data scientists collect, analyze, and interpret large datasets to uncover patterns, trends, and insights that inform business decisions. They use programming languages like Python and R, as well as statistical and machine learning techniques.
Data Analyst: Data analysts focus on interpreting data to help organizations make informed decisions. They clean and organize data, conduct statistical analysis, and create visualizations to present findings to stakeholders.
Business Intelligence Analyst: Business intelligence analysts use data to help businesses improve efficiency and make strategic decisions. They develop reports, dashboards, and forecasts to support operational and strategic goals.
Machine Learning Engineer: Machine learning engineers design and implement algorithms that allow machines to learn from data and make predictions. They work on developing and deploying machine learning models in various applications.
Database Administrator: Database administrators manage and maintain databases that store and organize data. They ensure data security, optimize database performance, and troubleshoot issues to ensure data integrity and availability.
Quantitative Analyst (Quant): Quants use mathematical and statistical models to analyze financial markets and make investment decisions. They work in finance, using data to develop trading strategies and manage risk.
Healthcare Informatics Specialist: Healthcare informatics specialists analyze healthcare data to improve patient outcomes, reduce costs, and optimize healthcare delivery. They work in hospitals, research institutions, and healthcare technology companies.
Cybersecurity Analyst: Cybersecurity analysts protect organizations from cyber threats by analyzing data to detect and respond to security incidents. They monitor networks, investigate breaches, and implement security measures.
Research Scientist: Research scientists use data science techniques to conduct research in fields such as biology, environmental science, social sciences, and more. They analyze data to answer research questions and contribute to scientific knowledge.
Consultant: Data science consultants work with organizations across various industries to provide expertise in data analysis, strategy development, and implementation of data-driven solutions. They help businesses leverage data to achieve their goals.
