M.S. in Aviation and Transportation
Lewis University, located in Romeoville, Illinois, is a distinguished institution known...
Romeoville, Illinois
INTAKE: Jan & Aug
Lewis University takes pride in offering an advanced Master of Science in Data Science - Cognitive and Prescriptive Analytics program. This distinguished program holds the prestigious STEM designation, emphasizing its commitment to providing a rigorous education at the intersection of data science and cognitive computing.Lewis University's M.S. in Data Science - Cognitive and Prescriptive Analytics program positions graduates at the forefront of the data science landscape, offering specialized skills in cognitive computing and prescriptive analytics. Lewis University's STEM-designated M.S. in Data Science - Cognitive and Prescriptive Analytics program reflects the institution's commitment to providing an exceptional education at the forefront of data science and cognitive computing.
Curriculum:
STEM Designation: The M.S. in Data Science - Cognitive and Prescriptive Analytics program at Lewis University holds a STEM (Science, Technology, Engineering, and Mathematics) designation. This signifies the program's alignment with high academic standards in these critical fields.
Interdisciplinary Curriculum: The program features a comprehensive and interdisciplinary curriculum that covers both foundational principles of data science and advanced techniques in cognitive and prescriptive analytics. Students gain a holistic understanding of data-driven decision-making.
Cognitive Computing Fundamentals: Students delve into the fundamentals of cognitive computing, learning about artificial intelligence (AI) algorithms, machine learning, and natural language processing. The curriculum equips students to harness the power of cognitive technologies.
Prescriptive Analytics Techniques: The program emphasizes prescriptive analytics techniques, teaching students how to recommend optimal actions based on data insights. Students develop expertise in guiding organizations toward intelligent and strategic decision-making.
Big Data Technologies: Students explore big data technologies and tools used in cognitive and prescriptive analytics, including frameworks like Hadoop, Spark, and advanced analytics platforms. The curriculum ensures students can handle large-scale data efficiently.
Ethics in Data Science: Recognizing the ethical considerations in data science, the program includes a focus on ethical practices in cognitive and prescriptive analytics. Students engage in discussions about responsible AI and data privacy.
Real-world Applications: The curriculum incorporates real-world applications of cognitive and prescriptive analytics across various industries. Students work on practical projects to apply their knowledge to solve complex problems faced by organizations.
Industry-Relevant Capstone Project: Culminating the program, students undertake a capstone project that allows them to apply cognitive and prescriptive analytics techniques to a real-world scenario. This project serves as a showcase of their skills to potential employers.
Romeoville, Illinois
IELTS: 6.5
USD 16200
Entry Requirements for Postgraduate Programs
Academic Qualifications:
English Language Proficiency:
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.
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 commitment to 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.
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.
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 offers an advanced Master of Science in Data Science - Cognitive and Prescriptive Analytics program. Graduates from this program are equipped with specialized skills in cognitive computing and prescriptive analytics, opening doors to a range of dynamic and rewarding career prospects in the data science field.
Data Scientist - Cognitive Analytics: Graduates may pursue roles as data scientists specializing in cognitive analytics, applying advanced algorithms and artificial intelligence (AI) techniques to derive insights from complex datasets.
Prescriptive Analyst: Careers as prescriptive analysts involve using data-driven insights to recommend actions and strategies for decision-makers. Graduates play a crucial role in guiding organizations towards optimal outcomes.
Machine Learning Engineer - Cognitive Applications: Graduates can explore roles as machine learning engineers focused on developing cognitive applications. They design systems that mimic human thought processes, enhancing automation and decision-making.
Predictive Modeler: As predictive modelers, graduates develop models that forecast future trends and outcomes. They contribute to proactive decision-making by leveraging cognitive and prescriptive analytics techniques.
AI Solutions Architect: Careers as AI solutions architects involve designing end-to-end solutions that incorporate cognitive and prescriptive analytics. Graduates contribute to building robust AI systems that address complex business challenges.
Business Intelligence Consultant - Cognitive Insights: Graduates may work as business intelligence consultants, providing cognitive insights to organizations. They assist in transforming raw data into actionable intelligence for strategic decision-making.
Operations Research Analyst: Roles as operations research analysts involve applying mathematical and analytical methods to solve complex organizational problems. Graduates contribute to optimizing processes and decision-making through prescriptive analytics.
Healthcare Analytics Specialist: Graduates with expertise in cognitive and prescriptive analytics can explore roles in healthcare analytics. They contribute to improving patient outcomes, resource allocation, and operational efficiency in healthcare settings.
Financial Analyst - Algorithmic Trading: In the finance sector, graduates may pursue roles as financial analysts specializing in algorithmic trading. They use cognitive analytics to analyze market trends and optimize trading strategies.
Customer Experience Analyst: Graduates can work as customer experience analysts, leveraging cognitive analytics to enhance customer interactions. They contribute to creating personalized and efficient customer experiences.