Masters of Information Systems
The Master of Information Systems (MIS) program at Cleveland State University is a dist...
B.S. in Data Science
Cleveland, Ohio
INTAKE: Jan, May & Aug
Program Overview
Cleveland State University (CSU) offers a robust Bachelor of Science in Data Science program designed to equip students with the essential skills and knowledge required to excel in the rapidly evolving field of data science. This program combines a solid foundation in mathematics, statistics, and computer science with practical, hands-on experience in data analysis, machine learning, and data management. CSU’s data science program aims to produce graduates who are well-prepared to tackle complex data-driven challenges in various industries.
Curriculum: The curriculum for the B.S. in Data Science at CSU is comprehensive and interdisciplinary, blending theoretical concepts with practical applications. Core courses include Data Structures, Algorithms, Probability and Statistics, Machine Learning, and Data Mining. Students also take specialized courses such as Big Data Analytics, Database Systems, and Data Visualization. Additionally, the program includes electives that allow students to tailor their education to specific interests within the field, such as artificial intelligence, computational biology, or business analytics.
Research Focus: Cleveland State University emphasizes research as a critical component of its data science program. Students have the opportunity to engage in cutting-edge research projects under the guidance of experienced faculty members. Research areas include machine learning, predictive modeling, big data technologies, and the application of data science in healthcare, finance, and social sciences. These research experiences enable students to develop innovative solutions to real-world problems and contribute to the advancement of the data science discipline.
Industry Engagement: The B.S. in Data Science program at CSU is closely connected with industry partners, ensuring that students gain practical experience and insights into the demands of the job market. The university facilitates internships, co-op programs, and industry-sponsored projects, providing students with valuable opportunities to work with leading companies and organizations. These collaborations help bridge the gap between academic knowledge and practical application, enhancing students' employability upon graduation.
Global Perspective: Cleveland State University’s data science program recognizes the importance of a global perspective in today’s interconnected world. The curriculum incorporates global case studies and encourages students to consider the international implications of data science. Furthermore, CSU offers study abroad programs and international research opportunities, allowing students to gain cross-cultural experiences and understand the global context of data-driven decision-making.
Location
Cleveland, Ohio
Score
IELTS 6
Tuition Fee
USD 19998
Undergraduate Entry Requirements
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 75% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.0 with a minimum of 5.5 in each component.
- TOEFL: Overall score of 78 or higher.
- PTE: Overall score of 50 or higher.
- DET (Duolingo English Test): Overall score of 105.
Cleveland State University (CSU) offers a range of scholarships and financial aid opportunities to support international students in pursuing their education in the United States. These scholarships recognize academic excellence, leadership qualities, and contributions to the campus community.
Global Diversity Scholarship: This scholarship is awarded to incoming international students who have demonstrated outstanding academic achievements and a commitment to promoting diversity and inclusivity. The scholarship amount varies and is renewable for up to four years based on continued academic success.
Merit Scholarships: CSU offers merit-based scholarships to both undergraduate and graduate international students who exhibit strong academic performance. These scholarships are awarded based on factors such as GPA, test scores, and other achievements.
CSU Foundation Scholarships: The CSU Foundation offers various scholarships to both domestic and international students across different academic disciplines. Students can apply for these scholarships based on their field of study and other criteria.
Athletic Scholarships: International students who excel in sports may have the opportunity to receive athletic scholarships if they participate in CSU's intercollegiate athletic programs.
International Student Scholarships: CSU provides scholarships specifically tailored to international students to help cover tuition costs and ease the financial burden of studying abroad.
Honors Program Scholarships: The CSU Honors Program offers scholarships to academically talented students who participate in the program. These scholarships are designed to enhance the honors experience.
External Scholarships: CSU encourages international students to explore external scholarship opportunities, both in their home countries and globally, to help fund their education.
It's important to note that scholarship availability, eligibility criteria, and application deadlines may vary depending on the academic program and level of study.
Graduates of the B.S. in Data Science program at Cleveland State University have a wide range of career opportunities available to them, thanks to the program’s comprehensive and interdisciplinary approach. Data science professionals are in high demand across various industries, including technology, healthcare, finance, retail, and government.
Data Scientist: As a data scientist, graduates can analyze and interpret complex data sets to help organizations make informed decisions. They use statistical techniques and machine learning algorithms to uncover patterns and insights.
Data Analyst: Data analysts focus on collecting, processing, and performing statistical analyses on large data sets. They create visualizations and reports that help businesses understand trends and make strategic decisions.
Machine Learning Engineer: In this role, graduates develop and implement machine learning models and algorithms that allow computers to learn from and make predictions based on data. This is critical for applications such as predictive analytics, natural language processing, and image recognition.
Business Intelligence Analyst: Business intelligence analysts use data to provide actionable insights that inform business strategy. They work with data warehouses and use tools like SQL and Tableau to create dashboards and reports.
Data Engineer: Data engineers design, build, and maintain the infrastructure that allows for the collection and analysis of data. They work with big data technologies to ensure that data is accessible and usable for analysis.
Statistician: Statisticians apply mathematical and statistical techniques to analyze data and solve real-world problems. They work in various fields, including healthcare, government, and market research.
Quantitative Analyst: Often employed by financial institutions, quantitative analysts develop and implement complex mathematical models to support trading, risk management, and investment decisions.
Database Administrator: Database administrators manage and maintain databases to ensure that data is stored securely and efficiently. They are responsible for database design, implementation, and troubleshooting.
Data Consultant: Data consultants work with organizations to help them understand and leverage their data. They provide expert advice on data strategy, analytics, and technology implementation.
Research Scientist: Research scientists use data science techniques to conduct experiments and studies in various scientific fields. They contribute to advancements in knowledge and technology.
