logo
  • uni logo

QS Rank:

verified

25

uni logo

University of Michigan Ann Arbor

flag

Michigan

United States

icon

Program Rank

tooltip

7

The Master's in Data Science program at the University of Michigan - Ann Arbor is designed to equip students with a comprehensive understanding of the rapidly evolving field of data science. This 18-month program combines rigorous academic coursework with practical, hands-on experiences to prepare graduates for various roles across multiple industries. With a tuition fee of approximately $75,000, students will not only receive a top-tier education but also gain access to invaluable resources and opportunities that the university offers. The program focuses on essential areas such as data analysis, machine learning, and data visualization, building a strong foundation that allows students to excel in their careers.

The curriculum for the Master's in Data Science is meticulously crafted to incorporate both theoretical and practical knowledge. Students will explore a diverse range of subjects, including Applied Statistics, Database Systems, and Machine Learning, ensuring that they are well-versed in the necessary tools and techniques for data-driven decision-making. The program emphasizes interdisciplinary learning, allowing students to collaborate with peers from various backgrounds, which fosters innovative thinking and enhances problem-solving skills.

Faculty expertise plays a crucial role in the success of the program. The professors at the University of Michigan are recognized leaders in their fields, bringing a wealth of knowledge and real-world experience to the classroom. They utilize a unique teaching methodology that combines traditional lectures with interactive workshops and projects, enabling students to apply their knowledge in practical scenarios. Moreover, faculty members are committed to mentoring students, providing guidance for research projects, and offering insights into industry trends, which is invaluable for future career success.

Students enrolled in the Master's in Data Science program at University of Michigan - Ann Arbor will benefit from numerous research opportunities and resources available on campus. The university boasts cutting-edge technology and facilities, including advanced laboratories dedicated to data science research. Students can engage in various research initiatives, collaborating with faculty and industry partners on projects that address real-world challenges. This hands-on experience not only enhances their learning but also strengthens their resumes and prepares them for competitive job markets.

The program's strong connections with industry leaders and organizations provide students with ample internship opportunities, allowing them to gain practical experience while still pursuing their degrees. The university's extensive alumni network opens doors to potential employers and provides students with insights into different career pathways. Graduates of the program are highly sought after, with a median base salary of approximately $110,000, reflecting the high demand for skilled data professionals in the job market.

Why Study Master's in Data Science at University of Michigan - Ann Arbor
  • High Ranking: Consistently ranked among the top 25 universities globally, the University of Michigan offers a prestigious education.
  • Comprehensive Curriculum: The program covers a wide array of data science topics, ensuring graduates are well-prepared for various job roles.
  • Expert Faculty: Learn from industry leaders and experienced professors who are committed to student success.
  • Research Opportunities: Engage in exciting research projects that contribute to advancements in the field and provide valuable hands-on experience.
  • Robust Networking: Benefit from the university's extensive alumni network and industry connections for internships and job placements.

Upon completion of the Master's in Data Science program, graduates can pursue a multitude of career pathways. The program prepares students for roles such as Statistician, Data Scientist, Software Engineer, and Machine Learning Engineer. The burgeoning demand for data science professionals means that graduates can find positions in various sectors, including technology, finance, healthcare, and education. Notably, alumni from the program have secured positions at prestigious companies such as Google, Microsoft, and IBM, highlighting the program's effectiveness in cultivating industry-ready graduates.

The admissions process for the program is competitive, with an acceptance rate of 18%. Applicants are required to submit a completed application, including transcripts, a statement of purpose, a resume, and letters of recommendation. Candidates should meet specific eligibility criteria, including a minimum GPA of 3.0 and a strong academic background in relevant fields. International students must also provide proof of English proficiency through tests such as the IELTS or TOEFL, ensuring all participants can thrive in the English-speaking learning environment.

Students interested in applying should note the application deadline of January 15th, 2025, for the upcoming fall intake. As the demand for data science professionals continues to rise, enrolling in the Master's in Data Science program at the University of Michigan - Ann Arbor represents a strategic step towards a fulfilling and lucrative career. With its unique blend of rigorous coursework, research opportunities, and industry connections, this program truly stands out as a leader in shaping the future of data science education.

intake

Total Tuition Fees

$75,000

intake

Duration

18 Months

intake

Median Salary

$1,10,000

Ranking

icon

#25

US World and News Report

icon

#23

The World University Rankings

icon

#25

QS World University Rankings

intake

Intake

Fall ( Sept - Nov )

Class Profile

intake

Class Size

25

intake

Average Age

27

intake

Average Work Experience

3 Years

Diversity

Others:

2%

Two or more races:

3%

Asian:

20%

Black or African American:

6%

Hispanic or Latino:

13%

White:

56%

Career Outcomes

intake

Median Earnings After Graduation

$1,10,000 / year

intake

Graduation Rate

94%

Prospective Job Roles

Statistician

Research Scientist

Software Engineer

Machine Learning Engineer

Financial Analyst

Data Analyst

Quantitative Analyst

Data Scientist

Business Analyst

Operations Research Analyst

Data Security Analyst

Data Engineer

Clinical Data Analyst

Healthcare Data Analyst

Database Administrator

Big Data Engineer

Legal Data Analyst

Top recruiters

logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo

Eligibility Criteria

intake

At least 3 / 4 undergraduate GPA is expected.

intake

At least 16 years of bachelor degree.

English Proficiency Tests

  • TOEFL

    84

    tooltip
  • IELTS

    6.5

    tooltip

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.

intake

Application Fee: 90

  • intake

    Transcript

  • intake

    Passport

  • intake

    Statement of Purpose

  • intake

    Resume

  • intake

    IELTS

  • intake

    Academic LOR

  • intake

    Professional LOR

  • intake

    Academic LOR

  • intake

    Class 12 Marksheets

  • intake

    Class 10 Marksheets

Application Deadlines

Standard Deadline
FallJan 15, 2025

Fees and Funding

intake

Tuition Fees

$50,000 / year

intake

Overall Cost

$65,000 / 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 Michigan - Ann Arbor offers a variety of scholarships for students pursuing a master's degree in predictive analytics. These scholarships are based on academic merit, financial need, and other criteria. Some of the best scholarships available include the University of Michigan Presidential Scholarship, the Rackham Graduate School Fellowship, and the Michigan Engineering Diversity Scholarship.

  • icon

    University of Michigan Presidential Scholarship

  • icon

    Rackham Graduate School Fellowship

  • icon

    Michigan Engineering Diversity Scholarship

FAQs

  • The submission of these scores mainly depends on the type of degree/ course selected at the University of Michigan - Ann Arbor. 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 Michigan - Ann Arbor requirements before submitting a score.
  • Predictive 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 Michigan - Ann Arbor, they can easily pursue Predictive 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 Michigan - Ann Arbor 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 Michigan - Ann Arbor website to check the course/ degree duration.
  • One can apply for scholarships to pursue their international education at University of Michigan - Ann Arbor 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.

Ready to elevate your study abroad journey?

Book a call with us now and take the first step towards your global future!

Connect with us on our social media

  • icon
  • icon
  • icon
  • icon