B.S. in Data Science

Undergraduate Entry Requirements

Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 60% or above in their previous academic qualifications.

English Language Proficiency:

• IELTS: Overall band score of 6.5 with a minimum of 6.0 in each component.
• TOEFL: Overall score of 79 or higher.
• PTE: Overall score of 52 or higher.
• DET (Duolingo English Test): Minimum score of 105.

Lewis University is providing financial support to international students through a variety of scholarships and awards. These scholarships are designed to recognize academic excellence, talent, and contributions to the university community. 

International Student Academic Scholarships: Lewis University offers academic scholarships to international students based on their academic achievements. These scholarships are typically merit-based and may cover a significant portion of tuition costs.

Cultural Diversity Scholarship: The Cultural Diversity Scholarship is awarded to international students who have demonstrated a promoting diversity and inclusivity on campus. It recognizes their efforts to create a welcoming and inclusive environment.

Global Citizen Scholarship: The Global Citizen Scholarship is designed to support international students who have a strong track record of community service and volunteerism. It acknowledges their dedication to making a positive impact in the local and global community.

Athletic Scholarships: International students with exceptional athletic abilities may be eligible for athletic scholarships if they participate in varsity sports at Lewis University. These scholarships are typically offered to talented student-athletes.

Major-Specific Scholarships: Some academic departments and programs at Lewis University offer major-specific scholarships for international students. These scholarships are often based on academic performance within a particular field of study.

Leadership Scholarships: Lewis University values leadership and may award scholarships to international students who have demonstrated outstanding leadership qualities in their academic or extracurricular activities.

Transfer Student Scholarships: Transfer students from international institutions may be eligible for scholarships designed to ease their transition to Lewis University. These scholarships can help reduce the cost of their education.

Need-Based Financial Aid: Lewis University is committed to assisting international students with demonstrated financial need. Students can apply for need-based financial aid to help cover tuition and living expenses.

External Scholarships: Lewis University encourages international students to explore external scholarship opportunities from organizations, foundations, and government agencies. The university's scholarship office can provide guidance on finding these opportunities.

It's important to note that scholarship availability and criteria may vary each academic year.

Graduates of the B.S. in Data Science program at Lewis University are well-prepared to enter a rapidly growing field with diverse career opportunities. As organizations increasingly rely on data to inform decision-making, the demand for skilled data scientists continues to rise. 

Data Analyst: Data analysts play a crucial role in interpreting complex data sets to provide actionable insights. They utilize statistical tools and techniques to identify trends and patterns, helping organizations make informed decisions. Graduates can work in various sectors, including finance, healthcare, and marketing.

Data Scientist: Data scientists are responsible for developing models and algorithms to analyze large volumes of data. They use advanced statistical methods and machine learning techniques to solve complex problems. This role often requires a combination of programming skills, statistical knowledge, and domain expertise, making it a natural fit for Lewis University graduates.

Machine Learning Engineer: Machine learning engineers design and implement algorithms that allow computers to learn from and make predictions based on data. They focus on creating scalable models and systems that can process large data sets efficiently. Graduates can find positions in tech companies, research institutions, and any industry leveraging AI technologies.

Business Intelligence Analyst: Business intelligence analysts help organizations optimize their operations by analyzing business data and generating reports. They work closely with stakeholders to understand their needs and provide insights that drive strategic decisions. This role is essential in sectors such as retail, finance, and logistics.

Data Engineer: Data engineers are responsible for designing and maintaining the infrastructure needed for data generation and processing. They ensure that data pipelines are efficient and reliable, enabling data scientists and analysts to access and analyze data effectively. Graduates may work in technology firms, financial institutions, or any data-driven organization.

Quantitative Analyst: Quantitative analysts use statistical methods and mathematical models to analyze financial data and assess risks. They are often employed in the finance and investment sectors, where they develop algorithms and models to guide trading strategies and investment decisions. This career path is ideal for graduates with strong analytical skills and a background in mathematics.

Statistician: Statisticians apply mathematical and statistical techniques to analyze and interpret data. They design experiments and surveys to collect data and use statistical software to analyze results. Graduates can find opportunities in government agencies, healthcare organizations, and research institutions.

Data Visualization Specialist: Data visualization specialists focus on presenting data in a visually appealing and easily understandable format. They create dashboards, reports, and visual representations of data to help stakeholders make informed decisions. This role is increasingly important as organizations seek to communicate insights effectively.

Research Scientist: Research scientists in data science conduct experiments and studies to explore new methodologies and technologies. They contribute to academic and industry research projects, often collaborating with other researchers. Graduates aiming for research roles can pursue positions in universities, think tanks, or research-oriented companies.

Cybersecurity Analyst: With the rise of data breaches and cyber threats, cybersecurity analysts are essential for protecting organizational data. They analyze security measures, identify vulnerabilities, and implement solutions to safeguard sensitive information. This role is critical in sectors such as finance, healthcare, and government.