MS in Accounting
Northeastern University in Boston offers a robust MS in Accounting pro...
MPS in Analytics
Boston
INTAKE: Jan, Mar, June & Sept
Program Overview
The Master of Professional Studies in Analytics program at Northeastern University is designed to offer students a comprehensive understanding of the entire data lifecycle, from data collection and cleaning to analysis, modeling, and interpretation. It integrates key areas such as machine learning, data visualization, statistical analysis, and data management, providing students with the tools needed to extract valuable insights from complex data sets. This program is ideal for individuals looking to enhance their career in industries like healthcare, finance, marketing, and technology, where data analytics is becoming increasingly crucial for strategic decision-making.
STEM-Designated: The Master of Professional Studies in Analytics program at Northeastern University is STEM-designated, which signifies that it focuses on fields related to science, technology, engineering, and mathematics. This designation adds value to the program, particularly for international students, as it offers them the opportunity to apply for an extended Optional Practical Training (OPT) period, allowing them to gain valuable work experience in the U.S. after graduation. The STEM designation ensures that students are equipped with highly relevant, in-demand technical skills that are critical in the field of data analytics.
Curriculum: The curriculum for the Master of Professional Studies in Analytics program blends theoretical knowledge with practical application, offering courses that cover key topics such as data mining, machine learning, advanced statistics, predictive modeling, and big data analytics. Students also learn how to use industry-standard tools such as Python, R, SQL, and Tableau. The program provides flexibility through elective courses, allowing students to specialize in areas such as data engineering, artificial intelligence, or business analytics, depending on their career aspirations. The inclusion of a capstone project also enables students to apply what they’ve learned to real-world business problems.
Research Focus: The Master of Professional Studies in Analytics program at Northeastern University has a strong research component, allowing students to engage in cutting-edge research in areas such as machine learning, artificial intelligence, big data, and data visualization. Faculty members and students actively work on research projects that address real-world problems, focusing on the development of innovative solutions that can be applied across industries. Students are encouraged to contribute to ongoing research, providing them with opportunities to build their expertise in advanced analytics while gaining exposure to the latest trends in the field.
Industry Engagement: One of the key features of the Master of Professional Studies in Analytics program is its industry engagement through Northeastern’s renowned co-op program. This unique feature allows students to work with top companies in the analytics field, gaining valuable practical experience while applying their classroom knowledge to real business challenges. Additionally, the university’s extensive network of industry partners provides students with opportunities for internships, research projects, and collaborations with leading companies in data science, technology, finance, healthcare, and other sectors.
Global Perspective: The Master of Professional Studies in Analytics program at Northeastern University emphasizes a global perspective by preparing students to work in diverse, international environments. The program incorporates global trends in data analytics, helping students understand the challenges and opportunities in analytics on a global scale. The university’s global network of alumni and industry connections also facilitates exposure to international best practices and the ability to work on projects with a global impact, enhancing students' skills and preparing them for careers in multinational companies and international markets.
Location
Boston
Score
IELTS 6.5
Tuition Fee
USD 44910
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 6.5 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 79 or higher.
- PTE: Overall score of 53 or higher.
- DET (Duolingo English Test): Minimum score of 105.
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 Master of Professional Studies in Analytics program are equipped with advanced skills and knowledge in data science, machine learning, and business intelligence, making them well-prepared for a wide range of high-demand career opportunities across various industries.
Data Scientist: With a focus on data manipulation, statistical analysis, and predictive modeling, graduates can work as data scientists, extracting insights from complex datasets to guide strategic business decisions.
Data Analyst: Graduates can work as data analysts, gathering, interpreting, and presenting data to support business intelligence initiatives and help organizations make data-driven decisions.
Machine Learning Engineer: With expertise in machine learning algorithms, graduates can become machine learning engineers, developing and implementing models that predict trends, automate tasks, and optimize business processes.
Business Intelligence Analyst: Graduates can take on the role of business intelligence analysts, analyzing business data to help organizations improve performance, identify growth opportunities, and create actionable strategies.
Quantitative Analyst: For those with an interest in financial sectors, graduates can pursue careers as quantitative analysts, applying mathematical models and statistical techniques to solve complex financial problems and forecast market trends.
Big Data Engineer: With knowledge in big data technologies, graduates can become big data engineers, managing large-scale datasets and implementing technologies to process and analyze data at scale.
Analytics Consultant: Graduates can work as analytics consultants, advising organizations on how to leverage data analytics to optimize operations, improve decision-making, and enhance overall business strategies.
Operations Research Analyst: As operations research analysts, graduates can help businesses improve operational efficiency, using statistical and mathematical models to solve problems related to logistics, supply chain, and resource management.
Healthcare Data Analyst: Graduates can specialize in healthcare analytics, using data to improve patient outcomes, streamline operations, and reduce costs in healthcare organizations.
Data Engineer: With expertise in database management and data systems, graduates can work as data engineers, developing and maintaining the infrastructure required to process large datasets efficiently.
Artificial Intelligence Specialist: Graduates can specialize in artificial intelligence (AI), developing intelligent systems and algorithms that automate decision-making processes and enhance business functions.
