M.S. in Data Science - Data Engineering

Entry Requirements for Postgraduate Programs

1. Academic Qualifications:

   • Applicants are required to have completed an undergraduate degree or its equivalent from a recognized institution. The minimum academic requirement for postgraduate admission at Lewis University is a bachelor's degree with a minimum GPA of 60%.
      

2. English Language Proficiency:

   • IELTS (International English Language Testing System): A minimum overall score of 6.5 is required, with no individual band score falling below 6.
   • DET (Duolingo English Test): Lewis University requires a minimum DET score of 105.
   • PTE (Pearson Test of English): A minimum score of 52 in the PTE is the requirement.
   • TOEFL iBT (Test of English as a Foreign Language - Internet-Based Test): The university requires a minimum overall score of 79 on the TOEFL iBT.

Lewis University is committed to 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. 

1. 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.

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

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9. Graduate Assistantships: Graduate students at Lewis University may have the opportunity to secure graduate assistantships. These positions often come with a stipend, tuition remission, and valuable professional experience.

10. 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.

Lewis University stands as a beacon of academic excellence, offering an esteemed Master of Science in Data Science - Data Engineering program. Graduates from this program are well-equipped with the skills and knowledge needed for a range of dynamic and rewarding career prospects in the field of data engineering.

1. Data Engineer: Graduates may step into roles as data engineers, responsible for designing, developing, and managing the architecture for data generation, processing, and storage. They play a crucial role in constructing the foundation for robust data analytics.

2. Big Data Architect: Careers as big data architects involve designing and implementing large-scale data processing systems. Graduates contribute to creating architectures that handle vast amounts of data efficiently and enable advanced analytics.

3. Database Administrator: Graduates may pursue roles as database administrators, responsible for ensuring the performance, integrity, and security of databases. They optimize data storage and retrieval processes for efficient data management.

4. ETL Developer: With expertise in data engineering, graduates can explore roles as Extract, Transform, Load (ETL) developers. They design and implement ETL processes to facilitate the seamless flow of data between systems.

5. Data Warehouse Engineer: Careers as data warehouse engineers involve designing and maintaining data warehouses that serve as central repositories for structured and unstructured data. Graduates contribute to creating efficient data storage solutions.

6. Machine Learning Engineer - Data Engineering: Graduates with a focus on data engineering may pursue roles as machine learning engineers, specializing in designing infrastructure and pipelines for machine learning models to operate on large datasets.

7. Cloud Data Engineer: With the increasing prevalence of cloud computing, graduates can explore roles as cloud data engineers. They design and implement data solutions in cloud environments, leveraging platforms like AWS, Azure, or Google Cloud.

8. Business Intelligence Developer: Graduates may opt for careers as business intelligence developers, crafting solutions that enable organizations to turn raw data into actionable insights. They build reporting and dashboard systems for data visualization.

9. Data Integration Specialist: Graduates may specialize in data integration, working to connect disparate data sources and ensuring seamless data flow across systems. They play a vital role in unifying data for comprehensive analysis.

10. IoT Data Engineer: In the realm of the Internet of Things (IoT), graduates can explore roles as IoT data engineers. They design systems to manage and analyze data generated by interconnected devices.