M.S. in Data Science

Entry requirements for Postgraduate programs

Application Fee: US $ 60

Academic Qualifications:

• As part of the admission process, applicants are expected to showcase strong academic achievements. The University of Memphis looks for candidates with a solid academic background, requiring a minimum of 80% to 82% in their prior academic qualifications.

English Language Proficiency:

• IELTS: Overall IELTS score of 6.5.
• TOEFL iBT: Overall TOEFL iBT score required is 80.
• PTE: Minimum PTE score required is 59.
• DET: Minimum DET score required is 110.

Standardized Test Requirements:

• GRE (Graduate Record Examination): A GRE score of 300 is required.

The University of Memphis is committed to fostering diversity and inclusivity within its student body. As part of this commitment, the university offers a range of scholarships specifically designed to support international students in their academic pursuits. 

International Merit Scholarships: The University of Memphis provides International Merit Scholarships to outstanding students from around the world. These scholarships are awarded based on academic excellence, leadership qualities, and extracurricular achievements. Recipients of this scholarship are recognized for their exceptional contributions to the university community.

Global Ambassador Scholarships: The Global Ambassador Scholarships are aimed at students who demonstrate a strong commitment to promoting cultural diversity and global understanding. Recipients of this scholarship actively engage in initiatives that enhance cross-cultural exchange within the university and the broader community.

Cultural Diversity Scholarships: The university values the enrichment brought about by students from diverse cultural backgrounds. The Cultural Diversity Scholarships aim to support students who contribute to the university's cultural tapestry. These scholarships consider factors such as nationality, ethnicity, and cultural achievements.

Academic Excellence Awards: Recognizing the importance of academic achievement, the University of Memphis offers Academic Excellence Awards to international students who have demonstrated outstanding performance in their academic endeavors. These awards may cover tuition and other educational expenses.

International Graduate Assistantships: For graduate students, the university provides International Graduate Assistantships that offer financial support through research or teaching assistant roles. These assistantships not only provide financial assistance but also valuable professional development opportunities.

Destination Memphis Scholarships: The Destination Memphis Scholarships are designed to attract high-achieving students to the University of Memphis. These scholarships may cover a portion of tuition costs and are awarded based on a holistic assessment of a student's achievements.

The University of Memphis, USA, positions graduates of its Master of Science (M.S.) in Data Science program for dynamic and lucrative career prospects in the ever-expanding field of data science. Armed with a robust skill set acquired through a cutting-edge curriculum, hands-on learning experiences, and collaborative research opportunities, graduates are well-prepared to make significant contributions in the data-driven landscape. The career prospects associated with the M.S. in Data Science from the University of Memphis are diverse and align with the evolving needs of industries.

1. Data Scientist: Graduates can pursue roles as data scientists, leveraging their expertise in statistical analysis, machine learning, and data visualization to extract actionable insights from complex datasets. They may work in industries such as finance, healthcare, or technology, contributing to data-driven decision-making.

2. Business Intelligence Analyst: With a focus on interpreting data to inform business strategy, graduates may choose to become business intelligence analysts. They work to transform raw data into valuable business insights, aiding organizations in making informed decisions and staying competitive in the market.

3. Machine Learning Engineer: Those with a keen interest in developing machine learning models and algorithms may embark on careers as machine learning engineers. They contribute to the creation of intelligent systems and applications that can learn and adapt from data patterns.

4. Data Engineer: Graduates may specialize in data engineering, designing and managing the infrastructure required for effective data collection, storage, and processing. They play a crucial role in ensuring the accessibility and reliability of data for analysis.

5. Big Data Architect: With the increasing importance of handling large-scale datasets, graduates may pursue careers as big data architects. They design systems capable of processing and managing vast amounts of data efficiently, facilitating analytics and decision-making processes.

6. Data Analyst: Entry-level roles as data analysts are also common career paths for graduates. They analyze data to identify trends, generate reports, and provide insights that support organizational goals, making meaningful contributions to data-driven initiatives.

7. Research Scientist: Graduates may choose to work in research roles, contributing to the advancement of data science knowledge and methodologies. They may be involved in academic research, industry-specific research, or research within government agencies.

8. Consultant or Freelancer: Some graduates opt for consulting or freelancing, offering their expertise to businesses or organizations seeking specialized data science solutions. This flexible career path allows for diverse project opportunities and entrepreneurial pursuits.