M.S. in Data Science

Postgraduate Entry Requirements

1. Academic Qualifications:

• Postgraduate applicants are required to hold a bachelor's degree with a strong academic record. The range for academic qualifications is between 70% and 80%.

2. English Language Proficiency:

• IELTS: 6.5 overall with no band less than 6
• TOEFL iBT: An overall TOEFL score required is 80.
• PTE: Minimum PTE score of 53 is required.
• DET (Duolingo English Test): Minimum DET score required is 105.

3. Credential evaluation required.

The University of St. Thomas (UST) in Minnesota, USA, extends a warm welcome to international students by offering a range of scholarships designed to enhance accessibility and support their educational journey. These scholarships underscore UST's commitment to fostering a diverse and inclusive academic community while providing financial assistance to deserving students from around the world.

1.International Merit Scholarships: UST recognizes and rewards academic excellence in international students through merit-based scholarships. These scholarships are awarded based on outstanding academic achievements, including high school or college GPA, standardized test scores, and other notable accomplishments.

2.Global Leaders Scholarship:UST values leadership qualities and encourages students to actively contribute to their communities. The Global Leaders Scholarship is designed to support international students who have demonstrated exceptional leadership skills and a commitment to making a positive impact.

3.Cultural Diversity Scholarship: Celebrating the richness of cultural diversity, UST offers the Cultural Diversity Scholarship to international students who contribute to the vibrant multicultural tapestry of the university. This scholarship aims to recognize and support students from various cultural backgrounds.

4.Need-Based Financial Aid: Understanding the financial challenges that international students may face, UST provides need-based financial aid to eligible individuals. This aid is tailored to address specific financial circumstances, ensuring that deserving students have the resources to pursue their academic goals.

5.International Transfer Student Scholarships: UST acknowledges the achievements and unique challenges faced by international transfer students. Scholarships for international transfers aim to facilitate a smooth transition and recognize the academic accomplishments of students transferring to UST.

6. Global Perspectives Scholarship: Emphasizing the importance of a global outlook, UST offers the Global Perspectives Scholarship to international students who actively contribute to fostering cross-cultural understanding and engagement on campus.

Graduates of the Master of Science (M.S.) in Data Science program at the University of St. Thomas are well-prepared for dynamic and high-demand careers in the rapidly evolving field of data science. The program, designed to equip students with advanced analytical and technical skills, opens doors to various industries where data-driven decision-making is paramount. The M.S. in Data Science program at the University of St. Thomas prepares graduates for diverse and high-impact careers in data-driven industries, equipping them with the skills necessary to navigate the complexities of the modern data landscape. The program's focus on both technical and analytical competencies positions graduates for success in a variety of fields where data science is a critical component of decision-making and innovation.

1. Data Scientist: Graduates may pursue roles as Data Scientists, leveraging their expertise in statistical analysis, machine learning, and data modeling to extract meaningful insights from complex datasets. They play a crucial role in informing strategic decisions within organizations.

2. Data Analyst: With a focus on data analysis, graduates can become Data Analysts, responsible for interpreting and presenting data trends, patterns, and insights to support business strategies. They contribute to informed decision-making and operational efficiency.

3. Machine Learning Engineer: Graduates specializing in machine learning can pursue roles as Machine Learning Engineers, developing algorithms and models that enable machines to learn from and make predictions based on data. This is particularly relevant in fields like artificial intelligence and predictive analytics.

4. Big Data Engineer: Those with a focus on big data technologies may explore careers as Big Data Engineers, designing, building, and maintaining the infrastructure necessary for processing and analyzing large volumes of data.

5. Business Intelligence Analyst: Graduates may become Business Intelligence Analysts, utilizing their skills to transform raw data into actionable business intelligence. They create visualizations and reports that aid in strategic planning and decision-making.

6. Quantitative Analyst: For those interested in finance, quantitative analysis roles are available. Graduates can work as Quantitative Analysts, using mathematical models and statistical techniques to analyze financial data and inform investment strategies.

7. Data Engineer: Graduates specializing in data engineering can pursue roles as Data Engineers, responsible for designing and constructing systems for the collection and storage of data. They ensure the availability and accessibility of quality data for analysis.

8. Healthcare Data Analyst: In the healthcare sector, graduates may become Healthcare Data Analysts, working with medical data to identify trends, improve patient outcomes, and contribute to healthcare decision-making.

9. Cybersecurity Analyst: Data Science graduates with a focus on cybersecurity can explore roles as Cybersecurity Analysts, using data analysis techniques to identify and mitigate potential security threats to an organization's systems.

10. Predictive Modeler: Graduates may work as Predictive Modelers, developing models that forecast future trends and outcomes based on historical data. This role is applicable across various industries, including marketing and finance.

11. Research Scientist: Those interested in research may pursue roles as Research Scientists, contributing to advancements in data science methodologies and technologies. They may work in academic institutions, research organizations, or industry research labs.

12. Consultant: Graduates may work as Data Science Consultants, offering their expertise to organizations seeking guidance on implementing data-driven strategies, optimizing processes, and solving complex business problems.

13. Government Analyst: Opportunities exist for graduates to work as Government Analysts, utilizing data science techniques to inform public policy, analyze social trends, and address governmental challenges.

14. Supply Chain Analyst: Graduates with an interest in logistics and supply chain management can become Supply Chain Analysts, using data to optimize supply chain processes, reduce costs, and improve overall efficiency.

15. Chief Data Officer (CDO): With experience and expertise, graduates may ascend to leadership roles such as Chief Data Officer, overseeing an organization's data strategy, governance, and ensuring the ethical and effective use of data.