QS Rank:

152

Michigan State University

Michigan
,United States

Program Name
BSc in Data Science

Deadline
February 01st, 2024
Overview

The Bachelor of Science in Data Science program at Michigan State University is designed to equip students with a comprehensive understanding of data science principles and methodologies. This degree combines technical skills with business acumen, preparing graduates to tackle complex data problems in various sectors. The program emphasizes not only the theoretical frameworks of data science but also offers substantial hands-on experience, ensuring students are well-prepared for real-world challenges.
The curriculum encompasses a wide array of subjects, including but not limited to statistics, data analysis, machine learning, and programming languages such as Python and R. Students will explore the intricacies of data visualization, big data technologies, and business intelligence analytics. The program aims to create not just data scientists, but future leaders who can make data-driven decisions and contribute meaningfully to their organizations. The integration of practical projects enhances students' learning experiences, bridging the gap between academic knowledge and industry requirements.
Faculty members involved in the program are distinguished scholars and industry practitioners who bring a wealth of knowledge and experience to the classroom. They employ engaging teaching methodologies that include group projects, case studies, and interactive workshops. This approach fosters an environment of collaboration and innovation, encouraging students to think critically and creatively. The faculty's commitment to mentorship plays a pivotal role in the academic journey of the students, guiding them toward successful careers in data science.
Research opportunities are abundant for students enrolled in the Data Science program. Michigan State University is known for its robust research initiatives, and students have access to advanced data analytics labs and cutting-edge technology. These resources enable students to engage in meaningful research projects that can lead to publications and presentations at conferences. This not only enriches their academic experience but also enhances their resumes, making them more attractive to potential employers.
The program also boasts strong ties with the industry, facilitating valuable internship opportunities that allow students to apply their skills in real-world settings. The university collaborates with renowned companies such as Google, Amazon, and IBM, providing students with unique chances to network and gain practical experience. Graduates of the program have gone on to successful careers in diverse roles, including Data Analyst, Data Scientist, and Business Intelligence Specialist, with average base salaries reaching approximately $67,500 per year.
Why Study Data Science at Michigan State University
- A highly recognized program with a global ranking among the top universities for data science education.
- Comprehensive curriculum that integrates hands-on learning experiences, ensuring practical application of theoretical concepts.
- Experienced faculty members who are leaders in their field, providing mentorship and guidance for academic growth.
- Strong industry connections that open doors to internships and job placements, allowing students to build their professional networks.
- Diverse student body with a rich cultural experience, enhancing learning through a variety of perspectives.
- Access to state-of-the-art facilities and resources, including advanced laboratories and technology for data analysis.
The program curriculum is meticulously structured to cover essential aspects of data science. Students will begin with foundational courses in mathematics and statistics, essential for understanding data analysis techniques. As they progress, they will delve into specialized courses such as Data Mining, Predictive Analytics, and Machine Learning. Additionally, the program includes business-oriented courses that focus on analytics for decision-making, ensuring that graduates can effectively translate data insights into strategic business actions.
Faculty expertise plays a crucial role in the learning environment at Michigan State University. Professors are not only academically qualified but also possess significant industry experience. This unique combination allows them to provide students with current industry practices and emerging trends in data science. With a student-to-faculty ratio that promotes personalized attention, students can benefit from tailored academic support and professional advice that enhances their learning experience.
Research opportunities within the program are extensive. Students are encouraged to participate in ongoing research projects led by faculty members, often resulting in collaborative studies that are published in reputable journals. This emphasis on research cultivates a culture of inquiry and intellectual curiosity among students. Moreover, students can access various resources such as the university’s data labs, which are equipped with the latest software and technologies that aid in research and analysis.
The program's connections with industry leaders provide students with internship opportunities that are invaluable for career development. Collaborations with major companies ensure that students gain practical work experience, which can significantly enhance their employability upon graduation. Many students secure internships that lead to full-time positions, often before they have even completed their degree. The program’s emphasis on real-world application prepares students to enter the job market with confidence and competence.
Graduates of the BSc in Data Science program at Michigan State University boast an impressive range of career pathways. Common job roles include Statistician, Data Analyst, Business Analyst, and Data Scientist, among others. Employers such as Accenture, Google, Amazon, and IBM actively seek graduates from this program, recognizing their well-rounded skill set and practical experience. The median base salary for graduates stands at $65,000, with many securing higher earnings based on their roles and experience.
The program not only prepares students for immediate employment but also lays a strong foundation for further studies such as a Master’s degree in Data Science or related fields. This flexibility enables students to tailor their educational journey according to their career aspirations and personal interests.
In conclusion, the BSc in Data Science at Michigan State University represents an exceptional opportunity for students to gain a robust education in a rapidly growing field. With its strong curriculum, expert faculty, and extensive industry connections, students will emerge well-prepared to meet the demands of the data-driven world.

Duration
48 Months

Median Salary
$65,000
Ranking
#77
US World and News Report
#106
The World University Rankings
#152
QS World University Rankings

Intake
Fall ( Sept - Nov )
Class Profile

Class Size
100

Average Age
22

Average Work Experience
0 Years
Diversity
Others:
10%Ohio:
20%Michigan:
40%Illinois:
30%Indiana:
10%Career Outcomes

Median Earnings After Graduation
$65,000 / year
Prospective Job Roles
Statistician
Product Manager
Research Scientist
Software Engineer
Data Engineer
Data Analyst
Quantitative Analyst
Data Scientist
Business Analyst
Machine Learning Engineer
Top recruiters








Eligibility Criteria
English Proficiency Tests
TOEFL
79
IELTS
6.5
DUOLINGO
110
PTE
53
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.
Transcript
Essay
Academic LOR
Resume
Application Deadlines
Early Action 1 | Regular Decision | |
---|---|---|
Fall | Nov 1, 2023 | Feb 1, 2024 |
Fees and Funding

Tuition Fees
$43,522 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
FAQs
A student can complete Data Science at Michigan State University with in 48.
The deadline to submit an admission application for Data Science at Michigan State University is Application deadline Fall (Early Action 1) - date - 01/11/2023 ,Application deadline Fall (Regular Decision) - date - 01/02/2024
The application fee to pursue Data Science at Michigan State University is USD 75 for international students.
The annual tuition fee to pursue Data Science at Michigan State University is USD 43522.
The submission of these scores mainly depends on the type of degree/ course selected at the Michigan State University. 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 Michigan State University requirements before submitting a score.
Data Science 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 Michigan State University, they can easily pursue Data Science. 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 Michigan State University can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official Michigan State University website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at Michigan State University 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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