M.S. in Supply Chain Management
The Master of Science in Supply Chain Management (M.S. SCM) program at Middle Tennessee...
Ph.D. in Computational and Data Science
Murfreesboro, Tennessee
INTAKE: August
Program Overview
Middle Tennessee State University offers a diverse range of academic programs. The university is known for its commitment to providing high-quality education across various disciplines, fostering a vibrant learning environment for students.
STEM Designated: MTSU offers a variety of STEM (Science, Technology, Engineering, and Mathematics) programs that are designed to prepare students for careers in rapidly evolving fields. The university's STEM designation reflects its focus on promoting education and research in these critical areas.
Curriculum: The curriculum at MTSU is designed to be comprehensive and adaptable, ensuring that students receive a well-rounded education while also gaining specialized knowledge in their chosen field. The university places a strong emphasis on hands-on learning experiences and practical skills development.
Research Focus: Middle Tennessee State University is actively involved in cutting-edge research across multiple disciplines. The university prioritizes research initiatives that contribute to advancements in technology, science, and other fields. Faculty and students are encouraged to engage in collaborative research projects that have real-world applications.
Industry Engagement: MTSU maintains strong ties with various industries, fostering partnerships and collaborations that enhance students' learning experiences. Through internships, co-op programs, and industry-sponsored projects, students have opportunities to apply their knowledge in real-world settings and establish connections with professionals in their respective fields.
Global Perspective: The university values a global perspective in education. MTSU may offer international programs, study abroad opportunities, and cultural exchange initiatives to broaden students' horizons and prepare them for a globalized workforce. The university may also host events and activities that celebrate diversity and cultural understanding.
Location
Murfreesboro, Tennessee
Score
IELTS 6.5
Tuition Fee
USD 28000
PhD Entry Requirements
Application Fees: $50
Academic Qualifications: Prospective PhD applicants are expected to hold a taught Masters degree in a relevant subject area. The university typically requires a minimum of 80% or above as the standard for academic performance in the completed Masters program.
English Language Proficiency:
- IELTS Requirement: An overall IELTS score of 6.5 is required.
- TOEFL Requirement: A minimum overall score of 71 is often required.
- DET Requirement: A DET score of 95 is required.
WES evaluation required
Students must provide:
- Academic marksheets & transcripts
- Letters of recommendation
- A personal statement - SOP
- Passport
- Other supporting documents as required by the university.
Work experience: Some PhD courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
MTSU actively promotes diversity and inclusivity in higher education by providing scholarships specifically tailored for international Ph.D. students. These scholarships aim to alleviate the financial burden of pursuing advanced degrees and encourage scholars from around the world to contribute to cutting-edge research.
Global Merit Scholarship: The Global Merit Scholarship at MTSU recognizes outstanding academic achievements. It is awarded to international Ph.D. students based on their academic records and potential for research excellence. This scholarship may cover full or partial tuition expenses.
Research Advancement Grant: MTSU offers the Research Advancement Grant to support Ph.D. candidates engaged in innovative research projects. Recipients receive financial support for their research, including funding for equipment, travel, and other research-related expenses.
Teaching and Learning Excellence Fellowship: The Teaching and Learning Excellence Fellowship is designed to recognize and support exceptional Ph.D. students. It provides financial support and valuable teaching experience, enriching the academic journey for international scholars.
Graduates of the Ph.D. program in Computational and Data Science at MTSU are well-equipped for diverse and rewarding career paths. The program is designed to provide students with a strong foundation in data analysis, artificial intelligence, and related areas, opening doors to various industries and sectors.
Data Scientist/Analyst: With a deep understanding of computational and data science principles, graduates can excel in roles where they analyze and interpret complex datasets to inform business strategies, research projects, and decision-making processes.
Machine Learning Engineer: Graduates can pursue roles in developing and implementing machine learning models, contributing to advancements in artificial intelligence and automation across industries.
Research Scientist: The program's emphasis on research prepares graduates for roles in academia or research institutions, allowing them to contribute to groundbreaking discoveries and innovations in computational and data science.
IT Consultant: With expertise in computational and data science, graduates can work as consultants, helping organizations optimize their IT infrastructure, implement data-driven solutions, and address technological challenges.
Business Intelligence (BI) Analyst: Graduates can play a crucial role in transforming raw data into actionable insights for businesses, assisting in strategic planning, and facilitating informed decision-making.
Quantitative Analyst: Financial institutions and investment firms value the skills of computational and data science experts to analyze financial data, assess risk, and optimize investment strategies.
