M.B.A. in Accounting
DePaul University, situated in the heart of Chicago, offers a distinguished Master of B...
M.S. in Data Science - Computational Methods
Chicago, Illinois
INTAKE: Jan, Mar, June & Sept
Program Overview
University is a cutting-edge, STEM-designated degree designed to prepare students for dynamic and high-demand careers in data science and analytics. This innovative program combines advanced computational techniques with data analytics, enabling students to acquire the skills and knowledge required to excel in the data-driven world. Graduates of the M.S. in Data Science - Computational Methods program at DePaul University are well-equipped to pursue a wide range of high-demand careers. They can become data scientists, machine learning engineers, AI engineers, data analysts, and more, contributing to organizations across various industries. With STEM designation, international graduates also have the opportunity to work in the United States and make significant contributions to the field of data science.DePaul University's M.S. in Data Science - Computational Methods program offers a comprehensive and STEM-designated education that prepares students for success in the data-driven job market. Its interdisciplinary approach, practical experience, and faculty expertise set graduates on a path to excel in data science, computational methods, and analytics careers.
Curriculum:
1. STEM-Designated: DePaul University's M.S. in Data Science - Computational Methods program is STEM-designated, reflecting its rigorous focus on science, technology, engineering, and mathematics. This designation offers numerous benefits, including extended Optional Practical Training (OPT) for international students, making it an attractive option for those seeking to work in the United States post-graduation.
2. Interdisciplinary Approach: The program adopts an interdisciplinary approach, integrating computational methods and data science. This combination empowers students to address complex real-world challenges, analyze large datasets, and extract valuable insights.
3. Core Curriculum: The core curriculum covers a broad spectrum of topics, including machine learning, data mining, programming, statistics, and data visualization. Students acquire hands-on experience with various programming languages and tools, ensuring they are well-prepared for the demands of the industry.
4. Advanced Computational Skills: Graduates of this program gain advanced computational skills, allowing them to develop algorithms, models, and software solutions that can handle massive datasets. The curriculum emphasizes computational techniques and their practical applications.
5. Data Analytics: In addition to computational methods, the program focuses on data analytics. Students learn how to collect, clean, and analyze data, providing insights that drive data-informed decision-making.
6. Industry-Relevant Projects: Practical experience is a key component of the program. Students engage in industry-relevant projects, working on real-world challenges posed by organizations. This hands-on experience is invaluable for career readiness.
7. Expert Faculty: DePaul's faculty members are experts in the field, with substantial experience in data science, computational methods, and related areas. They provide mentorship and guidance to students throughout their academic journey.
8. Networking Opportunities: DePaul University is located in Chicago, a hub for businesses and technology. Students benefit from numerous networking opportunities, internships, and potential job placements in this thriving city.
9. Flexible Study Options: The program offers flexible study options, including full-time and part-time enrollment, making it accessible for both recent graduates and working professionals.
Location
Chicago, Illinois
Score
IELTS: 6.5
Tuition Fee
USD 23868
Entry Requirements for Postgraduate Programs
Application Fees : US$ 75
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Academic Qualifications: International students applying for postgraduate programs are required to have a bachelor's degree or its equivalent from an accredited institution. The minimum academic requirement is often a cumulative grade point average (GPA) of 3.0 on a 4.0 scale, which is equivalent to 60% or above.
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English Language Proficiency:
- IELTS: An overall score of 6.5 or higher, with no individual band score below 6.
- TOEFL iBT (Test of English as a Foreign Language - Internet-Based Test): A minimum overall score of 80 with no band less than 17.
- PTE (Pearson Test of English): A score of 53 or higher.
- DET (Duolingo English Test): A minimum score of 115.
DePaul University is dedicated to supporting the academic aspirations of international students. The university offers various scholarships and financial aid opportunities to help make education more accessible.
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International Student Scholarships: DePaul University provides merit-based scholarships to international undergraduate and graduate students. These scholarships consider academic achievements, test scores, and other criteria.
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Global Gateway Scholarships: These scholarships are designed for undergraduate international students who transfer from specific partner institutions to DePaul. They help facilitate a smooth transition.
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Dean's Merit-Based Scholarships: DePaul's colleges and schools offer dean's merit-based scholarships to international students within their respective programs. These scholarships recognize outstanding academic achievements and contributions.
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Graduate Assistantships: Graduate assistantships may be available to international students pursuing master's or doctoral degrees. These assistantships offer a stipend and sometimes a tuition waiver in exchange for research or teaching assistance.
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International Experience Scholarship: This scholarship is for undergraduate students planning to participate in study abroad programs. It provides financial support to students seeking to gain global perspectives.
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Vincent G. Rinn Family Endowed Scholarship: This scholarship is awarded to international students with financial need. It helps cover tuition costs and promote diversity within the DePaul community.
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Donor-Funded Scholarships: DePaul University administers a range of donor-funded scholarships, some of which are available to international students. These scholarships often have specific eligibility criteria and application requirements.
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Athletic Scholarships: DePaul offers athletic scholarships for international student-athletes who excel in various sports. These scholarships may cover tuition and related expenses.
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External Scholarships: DePaul encourages international students to explore external scholarship opportunities, both in their home countries and in the United States.
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Fellowship Programs: Some academic departments and schools offer fellowship programs that provide financial support to international graduate students pursuing specific areas of study.
It's important to note that scholarship availability, criteria, and application deadlines can vary among programs and departments at DePaul University.
The Master of Science (M.S.) in Data Science - Computational Methods program at DePaul University equips graduates with a powerful skill set, enabling them to excel in the rapidly growing field of data science. This program prepares students for a wide range of rewarding career opportunities.
1. Data Scientist: Data scientists are in high demand across various industries, including finance, healthcare, technology, and e-commerce. They use computational methods to analyze large datasets, extract insights, and make data-driven decisions. Graduates of this program have the skills to thrive in data science roles, developing algorithms and models that solve complex problems.
2. Machine Learning Engineer: As machine learning plays an increasingly vital role in technology, machine learning engineers are essential. Graduates can pursue roles in developing and implementing machine learning algorithms and models to improve processes and enhance user experiences.
3. Artificial Intelligence (AI) Engineer: AI engineers work on cutting-edge projects involving artificial intelligence and deep learning. With a strong computational background, graduates can contribute to AI research, develop intelligent systems, and build AI-driven products.
4. Data Analyst: Data analysts collect, process, and interpret data to help organizations make informed decisions. Graduates are well-prepared to work in this role, utilizing their computational skills to perform data analysis and visualization.
5. Quantitative Analyst (Quant): Quants are employed in finance and investment sectors to create complex mathematical models and strategies. Graduates can excel in this field, leveraging computational methods to analyze financial data and develop quantitative models.
6. Business Intelligence Analyst: Business intelligence analysts transform data into actionable insights, helping organizations improve their strategies and decision-making. Graduates can work in this role, enhancing business operations by using computational techniques to interpret data.
7. Research Scientist: Those interested in research can explore opportunities as research scientists in academia or research institutions. Graduates can contribute to advancements in computational methods, machine learning, and data science.
8. Data Engineer: Data engineers build and maintain the systems that allow for the collection and storage of data. Graduates are well-equipped to work in this role, managing large datasets and ensuring data quality and accessibility.
9. Big Data Engineer: Big data engineers specialize in handling and processing massive datasets. They design and maintain the infrastructure for big data solutions. Graduates can contribute to organizations dealing with large volumes of data.
10. Cybersecurity Analyst: As data security is paramount, cybersecurity analysts protect data from threats and breaches. Graduates with strong computational skills can apply their knowledge to safeguard sensitive information.
11. Consulting Roles: Graduates can pursue consulting roles in data science, providing expertise to organizations seeking guidance on data-related challenges and opportunities.
12. Startups and Entrepreneurship: Some graduates choose to start their own data-driven companies, applying computational methods to create innovative solutions and products.
