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University of Missouri, Columbia

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Missouri

United States

The Master of Science in Data Science and Analytics program at the University of Missouri, Columbia is a comprehensive graduate course designed to equip students with the critical skills and knowledge needed for a successful career in the rapidly evolving field of data science. This program emphasizes both theoretical foundations and practical applications, allowing students to delve into various focus areas such as machine learning, artificial intelligence, and data systems administration. With an emphasis on real-world problem-solving, students will be prepared to tackle the challenges faced in today’s data-driven environment.

The curriculum ensures a thorough understanding of essential concepts in data analysis, statistical modeling, and data management. Students will engage with core subjects such as Applied Statistics, Database Systems, and Practical Machine Learning. Additionally, the program incorporates hands-on projects and case studies that simulate real-world situations, fostering a deep understanding of how to extract valuable insights from data. Throughout the 24-month duration, students can expect to gain a well-rounded skill set that is highly sought after across various industries including finance, healthcare, and technology.

What sets the Data Science and Analytics program at University of Missouri, Columbia apart is the esteemed faculty who are not only educators but also practitioners in the field. The faculty members possess extensive academic credentials and industry experience, ensuring that students receive current and relevant knowledge. They employ innovative teaching methodologies that combine lectures, interactive seminars, and collaborative projects, promoting an engaging learning environment. With a student-to-faculty ratio that supports personalized attention, students can benefit from mentorship opportunities and guidance tailored to their individual career aspirations.

In addition to a robust curriculum and expert faculty, the program offers substantial research opportunities and resources. Students have access to state-of-the-art laboratories and research centers, which are equipped with cutting-edge technology and tools for data analysis. These facilities not only enhance the learning experience but also provide students with the resources necessary to conduct meaningful research. The program is actively involved in various research projects, allowing students to contribute to groundbreaking studies and publications in the field of data science.

Moreover, the University of Missouri, Columbia boasts strong industry connections that enhance internship possibilities and job placement outcomes for students. The university collaborates with leading companies and organizations, facilitating internships that provide students with invaluable hands-on experience and networking opportunities. The university's career services department also assists students in securing full-time employment upon graduation, which aids in navigating the job market effectively. Graduates of the program can expect to pursue diverse career pathways, including roles as Data Scientists, Data Engineers, and Business Analysts, often with attractive salaries averaging around $105,000 to $111,000 annually.

Ultimately, the Master of Science in Data Science and Analytics program at University of Missouri, Columbia stands out as a premier choice for students aspiring to excel in data science. With comprehensive curriculum offerings, exceptional faculty, and strong industry ties, the program prepares graduates for rewarding careers in a field that is both challenging and dynamic.

Why Study Data Science and Analytics at University of Missouri, Columbia
  • Comprehensive Curriculum: The program covers essential topics like machine learning, artificial intelligence, and data management with real-world applications.
  • Experienced Faculty: Learn from a team of expert faculty members who are actively involved in research and industry practices.
  • Research Opportunities: Access to advanced laboratories and participation in ongoing research projects enhances practical learning.
  • Strong Industry Connections: Benefit from internships and networking opportunities with leading companies in the field of data science.
  • Career Support: Comprehensive career services assist students in job placement, ensuring successful transitions into the workforce.
  • Diverse Career Pathways: Graduates are well-prepared for various roles including Data Scientist, Data Analyst, and Machine Learning Engineer.

The program has specific prerequisites and requirements for admission. Prospective students are expected to submit the following:

  • A completed application form along with the application fee.
  • Official transcripts from all post-secondary institutions attended.
  • A resume highlighting relevant work experience and skills.
  • A personal statement detailing the applicant's interest in the program and career goals.
  • Two letters of recommendation, preferably from academic or professional sources.
  • Proof of English proficiency through standardized tests (TOEFL, IELTS, PTE, or Duolingo).

The Master of Science in Data Science and Analytics at University of Missouri, Columbia offers a robust educational experience that prepares students for impactful careers in a field that is critical to the modern economy. The combination of high-quality education, experienced faculty, and strong industry links creates a powerful platform for students to succeed in their professional endeavors.

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Duration

24 Months

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Median Salary

$1,05,000

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

30

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Average Age

27

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Average Work Experience

3 Years

Diversity

Hispanic or Latino:

4%

Asian:

5%

Two or more races:

5%

White:

72%

Black or African American:

13%

Career Outcomes

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Median Earnings After Graduation

$1,05,000 / year

Prospective Job Roles

Statistician

Data Engineer

Software Engineer

Research Scientist

Machine Learning Engineer

Data Analyst

Quantitative Analyst

Data Scientist

Business Analyst

Operations Research Analyst

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • PTE

    59

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  • TOEFL

    80

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  • IELTS

    6.5

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  • DUOLINGO

    105

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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    Transcript

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    Resume

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    Personal Statement

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    Academic LOR

Application Deadlines

Final Deadline
FallJun 11, 2023

Fees and Funding

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Tuition Fees

$23,140 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The University of Missouri, Columbia offers a variety of scholarships for students pursuing a master's degree in data science and analytics. These scholarships are based on merit, financial need, or a combination of the two. Some of the most popular scholarships include the University of Missouri Graduate School Fellowship, the MU Graduate School Diversity Scholarship, and the MU Graduate School Dean's Scholarship.
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    University of Missouri Graduate School Fellowship

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    MU Graduate School Diversity Scholarship

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    MU Graduate School Dean's Scholarship

FAQs

  • A student can complete Data Science and Analytics at University of Missouri, Columbia with in 24.

  • The deadline to submit an admission application for Data Science and Analytics at University of Missouri, Columbia is Application deadline Fall (Final Deadline) - date - 11/06/2023

  • The application fee to pursue Data Science and Analytics at University of Missouri, Columbia is USD 100 for international students.

  • The annual tuition fee to pursue Data Science and Analytics at University of Missouri, Columbia is USD 23140.

  • The submission of these scores mainly depends on the type of degree/ course selected at the University of Missouri, Columbia. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check University of Missouri, Columbia requirements before submitting a score.

  • Data Science and Analytics can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more

  • If a student fulfils all the eligibility criteria and admission requirements of University of Missouri, Columbia, they can easily pursue Data Science and Analytics. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.

  • An MS degree at University of Missouri, Columbia can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of Missouri, Columbia website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at University of Missouri, Columbia by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.

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