M.S. in Supply Chain Management
The Master of Science in Supply Chain Management (M.S. SCM) program at Middle Tennessee...
B.S. in Data Science
Murfreesboro, Tennessee
INTAKE: Jan & Aug
Program Overview
Middle Tennessee State University (MTSU) offers a Bachelor of Science (B.S.) in Data Science that prepares students to navigate the complexities of data analysis and interpretation in various fields. This interdisciplinary program combines elements of mathematics, statistics, computer science, and domain-specific knowledge, equipping students with the skills necessary to extract valuable insights from data. With a focus on practical application, the program aims to prepare graduates for high-demand roles in data-driven industries, making significant contributions to organizational decision-making processes.
Curriculum: The curriculum for the B.S. in Data Science at MTSU is thoughtfully designed to provide a comprehensive foundation in data analysis, programming, and statistical methods. Core courses cover essential topics such as data mining, machine learning, data visualization, and big data technologies. Students also have the opportunity to select electives that align with their interests and career goals, including advanced programming, artificial intelligence, and data ethics, ensuring a well-rounded education tailored to the evolving demands of the industry.
Research Focus: MTSU emphasizes research in the field of data science, encouraging students to engage in projects that address real-world problems using data-driven approaches. Faculty members actively involve students in research initiatives, focusing on areas such as predictive analytics, data management, and the application of data science techniques in various sectors. This research component not only enhances students' technical skills but also fosters critical thinking and innovative problem-solving abilities, which are essential in the fast-paced data science landscape.
Industry Engagement: The program promotes strong industry engagement through partnerships with local businesses and organizations that utilize data science in their operations. Students have access to internship opportunities, workshops, and networking events that connect them with industry professionals. This engagement allows students to gain practical experience, build professional networks, and understand the specific needs and challenges faced by organizations in their data-driven decision-making processes.
Global Perspective: Recognizing the global nature of data science, MTSU’s program incorporates a global perspective by exploring data-related issues and practices from around the world. Students examine the implications of data privacy, ethical considerations, and the role of data in global challenges such as climate change and public health. This comprehensive approach equips graduates with the ability to think critically about data science in a global context, preparing them to work effectively in diverse and dynamic environments.
Location
Murfreesboro, Tennessee
Score
IELTS 6
Tuition Fee
USD 29144
Undergraduate Entry Requirements
Application Fee: $30
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 5.5 in each component.
- TOEFL: Overall score of 61 or higher.
- DET (Duolingo English Test): Minimum score of 85.
Middle Tennessee State University is dedicated to fostering a diverse and inclusive academic community, attracting bright minds from around the world. To support international students in their pursuit of higher education, MTSU offers a range of scholarships designed to ease financial burdens and promote academic excellence.
International Merit Scholarships: MTSU extends International Merit Scholarships to outstanding students demonstrating exceptional academic achievements. These merit-based scholarships are designed to recognize and reward excellence, providing financial support to deserving individuals.
International Undergraduate Scholarships: For undergraduate international students, MTSU offers scholarships based on academic merit, leadership qualities, and extracurricular achievements. These scholarships aim to make quality education accessible to talented individuals seeking a bachelor's degree at the university.
Global Ambassador Scholarship: The Global Ambassador Scholarship is a unique opportunity for international students with a passion for promoting cultural exchange and fostering global understanding. Recipients of this scholarship actively contribute to MTSU's international community through various initiatives.
English Language Institute (ELI) Scholarships: MTSU's English Language Institute (ELI) offers scholarships to international students seeking English language proficiency programs. These scholarships support students in enhancing their language skills, preparing them for successful academic integration.
College-Specific Scholarships: Various colleges within MTSU may offer specific scholarships tailored to international students enrolled in particular academic disciplines. These scholarships acknowledge the diverse talents and contributions of students across different fields of study.
Cultural Diversity Scholarship: MTSU values cultural diversity and provides scholarships to international students who actively contribute to creating a culturally rich and inclusive campus environment. These scholarships aim to celebrate and support students from diverse backgrounds.
Graduates with a B.S. in Data Science from MTSU have access to a wide range of career opportunities in various sectors, thanks to their comprehensive training in data analysis, statistical methods, and programming.
Data Analyst: Many graduates begin their careers as data analysts, where they collect, process, and analyze data to help organizations make informed decisions. They use statistical techniques to interpret data sets and generate actionable insights, playing a crucial role in driving business strategies.
Data Scientist: With experience, graduates can advance to roles as data scientists. In this position, they develop algorithms and predictive models to analyze complex data sets. Data scientists often use machine learning techniques and programming skills to solve business problems and enhance decision-making processes.
Business Intelligence Analyst: Graduates may work as business intelligence analysts, focusing on using data to inform business decisions. They analyze data trends, create reports, and provide recommendations to improve organizational performance, often collaborating with various departments to optimize strategies.
Machine Learning Engineer: Some graduates choose to specialize as machine learning engineers, where they design and implement machine learning models. This role requires a strong understanding of algorithms and data structures, enabling professionals to build systems that learn and make predictions based on data.
Data Engineer: Data engineers focus on the architecture and infrastructure needed to manage and analyze data effectively. They design, construct, and maintain data pipelines, ensuring that data flows seamlessly between systems and is accessible for analysis.
Statistician: Graduates may also pursue careers as statisticians, applying mathematical theories and techniques to collect, analyze, and interpret quantitative data. Statisticians work in various fields, including healthcare, government, and finance, providing valuable insights through data analysis.
Quantitative Analyst: In finance and investment sectors, graduates can work as quantitative analysts, using mathematical models to analyze financial data and assess risks. They help organizations make investment decisions by providing data-driven insights and predictions.
Data Consultant: Some graduates may become data consultants, providing expertise to organizations looking to leverage data for strategic advantages. They analyze business needs, develop data strategies, and implement solutions to optimize data usage.
Research Scientist: For those interested in academia or research, positions as research scientists may be appealing. They conduct studies using data science techniques to address complex problems in various fields, including social sciences, healthcare, and environmental studies.
