M.S. Healthcare Analytics & Intelligence
The MS in Healthcare Analytics & Intelligence at Rutgers University - Camden is des...
M.S. Information Technology & Analytics
Camden, New Jersey
INTAKE: Jan & Aug
Program Overview
The MS in Information Technology & Analytics at Rutgers University - Camden is designed to provide students with the technical expertise and analytical skills required to excel in today’s data-driven environment. This program combines core principles of information technology with advanced analytics techniques, preparing graduates to tackle complex challenges in various sectors, including finance, healthcare, and logistics. Students will learn to harness data to inform decision-making and improve organizational performance.
STEM Designated: The MS in Information Technology & Analytics is designated as a STEM (Science, Technology, Engineering, and Mathematics) program. This designation highlights the program's focus on technical and analytical skills and allows international students to extend their Optional Practical Training (OPT) period in the United States. This extension provides graduates with valuable opportunities to gain practical experience in the field.
Curriculum: The curriculum is structured to cover essential topics in information technology and analytics. Core courses typically include data management, data mining, machine learning, and information systems design. Students also have the flexibility to choose electives that align with their interests, such as cybersecurity, business intelligence, and predictive analytics. The hands-on learning approach ensures that students can apply theoretical concepts to real-world scenarios.
Research Focus: Rutgers University - Camden emphasizes research in information technology and analytics, encouraging students to engage in innovative projects. Faculty members are involved in various research initiatives that explore emerging technologies, data analysis methodologies, and their applications in business and society. Students are encouraged to participate in these research efforts, enhancing their learning experience and contributing to advancements in the field.
Industry Engagement: The program fosters strong connections with industry leaders, providing students with opportunities for networking, internships, and collaborative projects. Through partnerships with local businesses and organizations, students can gain practical experience and insights into industry trends. Guest lectures and workshops featuring industry professionals further enrich the curriculum, preparing students for successful careers.
Global Perspective: Recognizing the global nature of information technology and analytics, the program incorporates a global perspective into its curriculum. Students explore international issues related to data privacy, cybersecurity, and technology adoption. This focus prepares graduates to navigate the complexities of the global market and understand how technological solutions can address diverse challenges worldwide.
Location
Camden, New Jersey
Score
IELTS 7
Tuition Fee
USD 46759
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 70% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 7.0 with a minimum of 6.5 in each component.
- TOEFL: Overall score of 100 or higher.
- PTE: Overall score of 53 or higher.
- DET (Duolingo English Test): Minimum score of 125.
Rutgers University, Camden offers various scholarship opportunities to support international students in their academic pursuits. These scholarships are designed to recognize and reward outstanding academic achievements and alleviate financial burdens.
International Student Scholarships: Rutgers-Camden provides scholarships specifically for international students. These may include merit-based scholarships, which are awarded based on academic performance and potential. The university aims to attract talented students from around the world by offering financial assistance to help cover tuition and other expenses.
Need-Based Financial Aid: In addition to merit-based scholarships, international students at Rutgers-Camden may be eligible for need-based financial aid. This assistance is determined based on the student's financial need and may include grants or scholarships to help offset the cost of education.
Graduate Assistantships and Fellowships: Graduate students may have access to assistantships and fellowships, which provide financial support in exchange for research or teaching responsibilities. These positions often include a stipend and may cover tuition costs, making them a valuable option for international graduate students seeking financial assistance.
External Scholarships: Rutgers-Camden encourages international students to apply for external scholarships offered by governments, foundations, and organizations in their home countries or globally. The university provides guidance on finding and applying for these opportunities, which can complement the financial aid available directly through the institution.
Graduates of the MS in Information Technology & Analytics program at Rutgers University - Camden are equipped to pursue a wide array of rewarding careers in the rapidly evolving field of technology and data analytics. The program’s emphasis on both technical skills and analytical thinking prepares alumni to take on roles that are critical for organizational success in various industries.
Data Analyst: Data analysts collect, process, and analyze data to derive actionable insights. They use statistical techniques and tools to identify trends and support decision-making within organizations.
Business Intelligence Analyst: Business intelligence analysts focus on interpreting complex data sets to help organizations make strategic decisions. They design data models and create visualizations to communicate findings effectively.
Data Scientist: Data scientists leverage advanced analytical techniques and programming skills to solve complex problems. They build predictive models and algorithms to analyze large data sets, driving business innovation.
Information Technology Manager: IT managers oversee the technology infrastructure of an organization, ensuring that systems run efficiently. They manage teams, develop IT strategies, and align technology initiatives with business goals.
Cybersecurity Analyst: Cybersecurity analysts protect an organization’s data and systems from cyber threats. They monitor networks for security breaches, conduct vulnerability assessments, and implement security measures.
Database Administrator: Database administrators manage and maintain databases to ensure data integrity, security, and availability. They optimize database performance and implement backup and recovery strategies.
Systems Analyst: Systems analysts evaluate and improve IT systems within organizations. They assess business needs and design technology solutions that enhance efficiency and effectiveness.
IT Consultant: IT consultants provide expert advice to organizations on technology strategies and implementations. They analyze existing systems and recommend solutions to optimize performance and reduce costs.
Project Manager: Project managers in IT oversee technology projects from inception to completion. They coordinate resources, manage budgets, and ensure that projects are delivered on time and within scope.
Analytics Manager: Analytics managers lead teams that analyze data to drive business decisions. They develop analytics strategies, manage projects, and ensure that data-driven insights align with organizational objectives.
