logo
uni logo

Lewis University

flag

Illinois

United States

The Bachelor of Science in Data Science program at Lewis University is meticulously crafted to meet the growing demand for skilled data professionals capable of harnessing the power of data to drive innovation and inform decision-making across various sectors. This program is particularly appealing to students who are passionate about transforming complex data into actionable insights. By combining theoretical knowledge with practical applications, the curriculum prepares students for a multitude of career paths in the ever-evolving field of data science.

At Lewis University, students embark on a comprehensive journey that spans core topics such as data mining, machine learning, and data visualization. The curriculum is enriched with advanced coursework, allowing students to delve deeper into specialized subjects such as predictive analytics, statistical modeling, and big data technologies. This well-rounded approach ensures that graduates are not only well-versed in data analysis but also equipped with the necessary skills to tackle real-world challenges, making them invaluable assets to potential employers.

Faculty members at Lewis University are seasoned experts in their respective fields, bringing a wealth of knowledge and experience into the classroom. They employ innovative teaching methodologies that promote active learning and critical thinking. In addition to traditional lectures, students engage in hands-on projects, collaborative group work, and case studies that mimic real industry scenarios. This immersive learning environment fosters a deeper understanding of data science concepts and enhances the overall educational experience.

Research opportunities abound for students enrolled in the Data Science program, with access to state-of-the-art resources and facilities. The university is committed to fostering a vibrant research culture and encourages students to participate in cutting-edge projects alongside faculty members. This not only provides invaluable experience but also allows students to contribute to significant advancements in the field of data science. Additionally, students can benefit from networking opportunities through conferences and seminars hosted by the university, further enhancing their academic and professional growth.

Lewis University proudly maintains strong industry connections, positioning students for success in securing internships and job placements after graduation. The university's dedicated career services team works diligently to facilitate relationships with leading companies such as Google, Amazon, and Deloitte, ensuring that students have access to a wide array of internship opportunities. These experiences provide students with practical exposure, allowing them to apply their theoretical knowledge in real-world settings, thus significantly enhancing their employability upon graduation.

Graduates of the Bachelor of Science in Data Science program have a wealth of career pathways available to them. Equipped with a robust skill set, they can pursue roles such as Data Scientist, Data Analyst, Software Engineer, Business Analyst, and many more. The diverse opportunities span various industries, including finance, healthcare, technology, and marketing, reflecting the universal need for data-driven decision-making in today's business landscape. Alumni of the program have reported successful job placements and have shared testimonials praising the program for its comprehensive curriculum and supportive learning environment.

Unique features of the Data Science program at Lewis University include a strong emphasis on experiential learning and the integration of modern technological tools into the curriculum. Students have access to leading software and platforms used in the industry, enabling them to gain hands-on experience with the tools that drive data analysis and decision-making. Furthermore, the university offers a competitive scholarship program aimed at supporting students who demonstrate academic excellence and financial need, making this prestigious degree more accessible to a broader range of students.

Why Study Data Science at Lewis University?

  • Highly reputed, consistently ranked program recognized globally, attracting students from various backgrounds.
  • Comprehensive curriculum that includes hands-on learning experiences, preparing students to meet industry demands.
  • Expert faculty with extensive industry experience, providing valuable insights and mentorship to students.
  • Strong emphasis on research opportunities, allowing students to engage in innovative projects and gain practical skills.
  • Robust industry connections facilitating internships and job placements with leading organizations.
  • Competitive scholarship options available, ensuring that deserving students can access quality education.

Admission to the Bachelor of Science in Data Science program at Lewis University is competitive. Prospective students must demonstrate a strong academic background, particularly in mathematics, science, and computer science. Additionally, a solid foundation in statistics and probability is essential. Applicants are also encouraged to showcase their interest in data science through extracurricular activities, personal statements, and letters of recommendation. Overall, the admissions process aims to select candidates who show promise and potential for success in the rigorous academic environment.

In summary, the Bachelor of Science in Data Science program at Lewis University stands out as a premier choice for students eager to thrive in the dynamic field of data science. With its robust curriculum, exceptional faculty, and focus on experiential learning, students are positioned to launch successful careers equipped with the skills and knowledge needed to excel in an increasingly data-driven world.

intake

Duration

48 Months

intake

Median Salary

$60,000

Class Profile

intake

Class Size

25

intake

Average Age

22

intake

Average Work Experience

0 Years

Diversity

Others:

10%

African American:

10%

Asian:

15%

Hispanic:

20%

White:

55%

Career Outcomes

intake

Median Earnings After Graduation

$60,000 / year

Prospective Job Roles

Statistician

Product Manager

Research Scientist

Software Engineer

Data Engineer

Teacher

Entrepreneur

Marketing Analyst

Operations Analyst

Data Analyst

Quantitative Analyst

Risk Analyst

Data Scientist

Business Analyst

Writer

Actuary

Consultant

Machine Learning Engineer

Top recruiters

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

Eligibility Criteria

English Proficiency Tests

  • TOEFL

    79

    tooltip
  • PTE

    52

    tooltip
  • IELTS

    6

    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

    Transcript

  • intake

    Academic LOR

  • intake

    Resume

Application Deadlines

Fees and Funding

intake

Tuition Fees

$36,320 / 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 Lewis University Data Science Scholarship is a full-tuition scholarship that is awarded to students who demonstrate academic excellence and financial need. The scholarship is renewable for up to four years, and recipients must maintain a minimum GPA of 3.0. The scholarship is open to students who are majoring in data science or a related field.
  • icon

    The Lewis University Foundation

FAQs

  • A student can complete Data Science at Lewis University with in 48.

  • The annual tuition fee to pursue Data Science at Lewis University is USD 36320.

  • The submission of these scores mainly depends on the type of degree/ course selected at the Lewis 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 Lewis 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 Lewis 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 Lewis 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 Lewis University website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at Lewis 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.

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