MS in Accounting
Northeastern University in Boston offers a robust MS in Accounting pro...
Boston
INTAKE: September
The MS in Information Design and Data Visualization at Northeastern University is designed for professionals and aspiring experts who want to master the art and science of visualizing complex data in an accessible and impactful way. This interdisciplinary program blends elements of design, data science, and communication to prepare students for careers in data visualization, user experience design, and information design. By equipping students with the skills to transform raw data into clear, engaging visual narratives, the program aims to create leaders who can help organizations and communities make informed decisions through innovative visual strategies. The program combines theoretical learning with practical experience, making it ideal for individuals passionate about using data to tell compelling stories and drive change.
Curriculum: The MS in Information Design and Data Visualization at Northeastern University offers a robust and comprehensive curriculum that covers the core principles of design and data analytics, alongside specialized courses in visualization technologies, interactive design, and data storytelling. Core courses include topics such as graphic design, user interface (UI) design, data management, and advanced data visualization techniques. Students also take elective courses that allow them to tailor their learning to specific interests, such as business intelligence, data journalism, or interactive media. The program emphasizes hands-on learning through project-based coursework, where students apply their skills to real-world challenges, and the use of industry-standard software tools to create cutting-edge visualizations. Additionally, students are required to complete a capstone project, which involves working with a client or an organization to solve a practical data visualization problem.
Research Focus: The MS in Information Design and Data Visualization program at Northeastern University is deeply focused on exploring the intersections between design, technology, and data. Students engage in research that delves into new techniques for visualizing large and complex datasets, improving accessibility, and creating interactive and engaging visual experiences. Research topics include the exploration of effective data storytelling, the development of innovative visual formats for big data, and the impact of visualization on decision-making processes in various industries. Faculty and students collaborate on research projects that push the boundaries of what is possible in data visualization, applying their findings to sectors like healthcare, business, public policy, and more.
Industry Engagement: Northeastern University’s MS in Information Design and Data Visualization program is known for its strong industry connections, providing students with the opportunity to work on real-world projects through the university’s renowned co-op program. This program allows students to gain practical experience by working with leading organizations in technology, media, healthcare, and design. By engaging with industry partners, students develop the skills and knowledge necessary to meet the demands of the workforce and build a portfolio that showcases their ability to create impactful visualizations. Students also have access to networking events, guest lectures, and workshops led by professionals in the field, further enhancing their industry engagement and career readiness.
Global Perspective: The MS in Information Design and Data Visualization program at Northeastern University emphasizes a global perspective, preparing students to address the challenges of designing for diverse audiences and international contexts. As data and digital technologies transcend borders, students are trained to consider how cultural differences, local contexts, and global challenges affect the way data is interpreted and visualized. The program offers international exposure through study abroad opportunities and global co-op placements, where students can apply their skills to global data visualization challenges. This global outlook ensures that graduates are equipped to work in multinational organizations and contribute to solving global issues through effective and culturally sensitive data visualization practices.
Boston
IELTS 6.5
USD 63648
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:
Northeastern University in Boston offers a range of scholarship opportunities for international students to help alleviate the financial burden of studying in the United States. These scholarships are designed to support academically talented students from around the world, promoting diversity and fostering an inclusive campus environment.
Merit-Based Scholarships: Northeastern University provides merit-based scholarships to international students based on academic excellence and achievements. These scholarships are awarded during the admissions process and are highly competitive. The amount and criteria for these scholarships may vary, but they aim to recognize students who demonstrate exceptional academic performance, leadership potential, and a strong their chosen field of study.
Northeastern International Scholars Program: This prestigious program offers scholarships to outstanding international students who exhibit leadership, academic excellence, and a desire to contribute to the global community. The Northeastern International Scholars Program provides both financial support and opportunities for personal growth through networking events, leadership training, and involvement in community service initiatives.
Need-Based Financial Aid: Although Northeastern University does not offer need-based financial aid to international students, there are still many merit-based scholarships available that can significantly reduce tuition costs. However, international students are encouraged to seek external scholarships or funding from their home country to help cover the remaining costs.
External Scholarships and Funding: In addition to institutional scholarships, international students at Northeastern University can explore a variety of external scholarship opportunities from governments, foundations, and organizations in their home countries. Many international students receive funding from these sources to support their education at Northeastern.
Graduates of the MS in Information Design and Data Visualization program at Northeastern University are well-prepared to enter a range of exciting careers in fields where data and design intersect. Equipped with the skills to transform complex data into visually compelling and accessible formats, these professionals are highly sought after in industries such as technology, healthcare, media, business analytics, education, and government.
Data Visualization Specialist: Creating visually appealing and informative representations of data for companies, helping stakeholders make data-driven decisions.
Information Designer: Designing intuitive and interactive visualizations that enhance user understanding of data in a wide range of media, from websites to mobile apps.
UX/UI Designer: Focused on designing user interfaces for digital platforms that effectively communicate data and enhance user experience through visual storytelling.
Data Journalist: Using data visualization techniques to convey complex news stories, offering interactive graphics and charts to engage readers and simplify data comprehension.
Business Intelligence Analyst: Analyzing and presenting business data through visualizations to guide corporate strategies and improve performance.
Product Designer: Incorporating data visualization into product design, ensuring that users can easily understand and interact with data-driven elements of digital products.
Healthcare Data Analyst: Designing visual systems that help healthcare professionals interpret medical data, improve patient outcomes, and make informed clinical decisions.
Market Research Analyst: Analyzing consumer data and trends, creating visual reports that help companies make informed marketing and sales decisions.
Data Scientist: Specializing in using algorithms and statistical models to analyze large datasets and presenting findings through effective visualizations to make sense of complex data.
Consultant in Data Analytics: Advising companies on how to implement data visualization strategies for better decision-making and performance optimization.