Introduction
This blog aims to provide you with insightful information and an overview of the USC Marshall MSBA Program. We will explore what sets this program apart and why it may be an excellent fit for managerial and executive aspirants. Furthermore, we will explore the course structure, specific courses offered, admission requirements, and other essential program elements. The USC Marshall MSBA Program has received one of the highest ratings among MSBA programs in the USA, and we will showcase what makes it stand out from other business education programs worldwide. Ultimately, this blog offers an insider’s perspective on the USC Marshall MSBA Program to empower prospective students to make informed decisions about their future.
The USC Marshall MSBA Program: Getting Started
The USC Marshall MSBA program is a STEM program in data science with a focus on business. One of the nation’s oldest MSBA programs, it has continuously been rated as one of the best in the world. Our students gain deeper knowledge of business analytics through active examination of actual business challenges and problems thanks to the program’s project-based learning components in the classroom. These initiatives span a variety of business disciplines, such as accounting, management, marketing, operations, supply chain, sports analytics, and human resources.
USC Marshall MSBA Program Overview
Program Structure and Duration
Through the yearly conferences, the USC Marshall MSBA program interacts with the local community. On the USC campus, they hold the free conference Data Con LA. Anyone with an interest in data can interact with professionals in the area and learn new things about it at the conference. Approximately 2000 people from across the nation routinely attend the events.
Additionally, they include the community through collaborating with numerous businesses and organizations, giving their students the opportunity to work on numerous real-world projects. These efforts enable the students to work with groups to provide creative solutions for the community, whether it is data collection and programming to enhance transit, affordable housing, or homelessness initiatives.
USC Marshall MSBA Class Profile
The USC Marshall MSBA program takes pride in maintaining a selective and diverse class size of around 189 students each year, carefully chosen from a pool of highly motivated and talented young professionals worldwide. This small and intimate size allows for a close-knit community, fostering a collaborative and supportive environment that enables students to learn from one another’s diverse perspectives and experiences.
The USC Marshall MSBA program students come from different countries and a wide range of industries and professional backgrounds. The average age of the cohort is 25, with an average work experience of 1.5 years.
As an USC Marshall MSBA student, you will have the opportunity to be a part of this vibrant and diverse community, embarking on a transformative journey of personal and professional growth.
USC Marshall Rankings and Reputation
USC Marshall School of Business is renowned for its strong rankings and reputation in the business education landscape. USC Marshall consistently ranks among the top business schools in the United States and globally.Â
The USC Marshall MSBA program has been ranked 9th worldwide by the QS World University Rankings. These rankings take into account various factors, including academic reputation, faculty quality, alumni satisfaction, and career outcomes for graduates.
The reputation of USC Marshall School of Business is well-regarded in the corporate world. It has built a strong network of influential alumni who have excelled in various industries, contributing to the school’s reputation for producing successful business leaders.Â
The school’s location in Los Angeles provides a unique advantage, offering students access to a diverse business environment and numerous networking opportunities. USC Marshall School of Business has earned its high rankings and reputation through a combination of academic excellence, strong corporate connections, and a commitment to fostering innovative business leaders with a global outlook.
USC Marshall MSBA Curriculum
The USC Marshall MSBA Program is a STEM Program in data science with a focus on business. One of the nation’s oldest MSBA Programs, it has continuously been rated as one of the best in the world. Students gain deeper knowledge of business analytics through active examination of actual business challenges and problems thanks to the program’s project-based learning components in the classroom. These initiatives span a variety of business disciplines, such as accounting, management, marketing, operations, supply chain, sports analytics, and human resources.
Through projects with industry partners and summer internships, students in the MSBA Program acquire important real-world experience throughout their studies. Instead of being required to complete a Capstone Project at the end of their graduate Program, MSBA students have the opportunity to enhance their resumes by working with companies to find data-driven solutions to actual business challenges. Students also compete in Case Competitions both inside and outside of the Program to sharpen their business acumen.
The 33 units required for the USC Marshall MSBA degree must be completed in 3 semesters (with the option to extend to 4 semesters): Fall, Spring, and Fall. In addition to the 12 units of coursework chosen from a list of electives, there are 21 units of coursework that are obligatory, including an internship option. The pillars of the Program are Business Strategy, Statistics, Machine Learning, Optimisation, and Computer Science.
First Semester (Fall)
The following courses are included:
- GSBA 545: Data Driven Decision Making (1.5 units)
The Data Driven Decision Making course is designed to equip participants with the skills and knowledge to make informed choices through data analysis. It covers the entire process, from data collection and preparation to interpreting results and implementing decisions. Students learn how to utilize various analytical tools, such as statistical techniques and data visualization, to draw valuable insights from complex datasets.
Moreover, the course emphasizes the importance of integrating data-driven approaches into business strategies and decision-making processes. By the end, participants will be adept at leveraging data to make more accurate, data-backed decisions, contributing to enhanced efficiency and success in their respective fields.
- DSO 510: Business Analytics (1.5 units)
The Business Analytics course is a comprehensive program aimed at developing participants’ proficiency in utilizing data to drive business insights and decisions. Throughout the course, students gain expertise in data mining, predictive modeling, and statistical analysis. They also learn how to apply analytical techniques to solve real-world business challenges, like forecasting sales, optimizing marketing strategies, and identifying trends in customer behavior.
The curriculum covers various tools and technologies, allowing students to manipulate and visualize data effectively. By the course’s conclusion, participants will be well-equipped to employ data-driven methodologies in business scenarios, empowering them to make well-informed decisions that foster growth and competitive advantage.
- DSO 545: Statistical Computing and Data Visualization (3 units)
The Statistical Computing and Data Visualization course focuses on developing participants’ proficiency in both statistical computing and data visualization techniques. Students gain expertise in programming languages like R and Python, enabling them to efficiently manipulate and analyze large datasets. Additionally, the course covers advanced statistical methods and algorithms, empowering participants to extract meaningful insights from complex data.
With a strong emphasis on data visualization tools and principles, students learn how to create compelling visual representations of data, aiding in better communication and comprehension of findings. By the end of the course, participants will be adept at leveraging statistical computing and data visualization to drive informed decision-making and communicate data-driven insights effectively.
- DSO 570: The Analytics Edge: Data, Models, and Effective Decisions (3 units)
The Analytics Edge: Data, Models, and Effective Decisions course is a comprehensive program designed to equip participants with essential skills for leveraging data and analytics to make effective decisions. The course covers a wide range of topics, including data manipulation, predictive modeling, and optimization techniques. Students gain hands-on experience using tools like R and Excel to analyze real-world datasets, deriving valuable insights.
The curriculum also focuses on applying analytics in various contexts, such as marketing, finance, and operations, to support decision-making processes. By the end of the course, participants will have a solid understanding of data-driven approaches, enabling them to make informed and impactful decisions across different domains.
- DSO 552: SQL Databases for Business Analysts (1.5 units)
The SQL Databases for Business Analysts course is designed to provide participants with the necessary skills to work with SQL databases effectively. The curriculum covers the fundamentals of SQL, including querying, manipulating, and managing relational databases. Students learn to retrieve and analyze data from databases using SQL commands, gaining hands-on experience with real-world datasets.
The course also focuses on data modeling, normalization, and database design principles to ensure efficient data organization. With these skills, business analysts can extract valuable insights from large datasets, generate reports, and support decision-making processes. By the course’s conclusion, participants will be well-prepared to handle complex data tasks and contribute to data-driven decision-making within their organizations.
Second Semester (Spring)
The following courses are included:
- DSO 530: Applied Modern Statistical Learning Methods (3 units)
The Applied Modern Statistical Learning Methods course is designed to equip students with advanced statistical techniques and their practical applications in various fields. The course covers cutting-edge methods, such as machine learning, deep learning, and data mining, enabling students to handle complex datasets and extract valuable insights.
Through hands-on projects and real-world case studies, participants gain proficiency in using statistical software and programming languages like R or Python. The curriculum emphasizes model selection, validation, and interpretation to make data-driven decisions.
Students also delve into topics like clustering, classification, regression, and dimensionality reduction. Overall, the course empowers learners to tackle contemporary data challenges and enhance their analytical skills.
- GSBA 542: Communication for Management (1.5 units)
The Communication for Management course focuses on developing effective communication skills specifically tailored for managerial roles. It equips students with the necessary tools to convey ideas, strategies, and directives clearly and persuasively to diverse stakeholders. The curriculum covers various communication channels, including written, verbal, and non-verbal forms, enabling students to master presentations, negotiations, and interpersonal interactions.
Participants learn how to craft compelling messages, manage conflicts, and lead teams efficiently. Emphasis is placed on understanding organizational dynamics and cultural nuances, fostering effective cross-cultural communication. Through practical exercises and simulations, students enhance their leadership communication, ultimately becoming adept at motivating teams and driving organizational success.
- DSO 553: NoSQL Databases in Big Data (1.5 units)
The NoSQL Databases in Big Data course delves into the essential concepts and practical applications of non-relational databases within the context of big data. Students gain a comprehensive understanding of NoSQL database systems, including key-value stores, document stores, column-family stores, and graph databases.
The course covers the advantages and limitations of these databases, focusing on their scalability, flexibility, and performance characteristics, making them ideal for handling vast and diverse data sets.
Participants learn how to design, implement, and optimize NoSQL databases for big data storage and processing. Hands-on projects and case studies provide valuable experience in managing and querying large-scale data, preparing students to tackle real-world big data challenges in a variety of industries.
- Elective (3 units)
The USC Marshall MSBA elective courses offer specialized learning opportunities for students pursuing a career in data analytics and business intelligence. These electives cover advanced topics, such as machine learning, data visualization, predictive modeling, and data-driven decision-making.
Through hands-on projects and real-world case studies, students develop proficiency in using cutting-edge analytics tools and techniques to extract valuable insights from complex datasets.
The MSBA electives allow students to tailor their education to align with their specific career interests, preparing them for success in data-driven roles across industries, where their skills can contribute to strategic business growth and innovation.
- Elective (1.5 units)
The USC Marshall MSBA elective courses cater to students seeking to excel in the realm of data analytics and business intelligence. These specialized learning opportunities delve into advanced subjects like machine learning, predictive modeling, and data visualization.
Through hands-on projects and real-world case studies, students hone their proficiency in cutting-edge analytics tools, extracting invaluable insights from complex datasets.
The flexibility of MSBA electives enables students to customize their education, aligning it with their unique career aspirations. The program empowers graduates to thrive in data-driven roles, contributing their skills to foster strategic business growth and innovation across diverse industries.
Summer
The following internship is included:
- DSO 595 (1.5 units) Internship in Data Sciences or Operations
An internship in Data Sciences or Operations offers valuable hands-on experience in two distinct yet interrelated fields. In Data Sciences, interns delve into the realm of data analysis, machine learning, and predictive modeling, gaining proficiency in programming languages and tools like Python, R, and TensorFlow. They tackle real-world datasets, extracting insights, and supporting decision-making processes.
On the other hand, an Operations internship focuses on optimizing business processes, supply chain management, and logistics. Interns learn about efficiency, quality control, and project management. Both internships present opportunities for professional growth, preparing candidates for promising careers in the data-driven and operational aspects of various industries.
Third Semester (Fall)
The following courses are included:
- DSO 573: Data Analytics Driven Dynamic Strategy and Execution (3 units)
The Data Analytics Driven Dynamic Strategy and Execution course is a comprehensive program designed to equip learners with essential skills for leveraging data analytics in strategic decision-making and execution. Participants gain insights into data-driven approaches to developing adaptive business strategies and learn to harness analytics tools to optimize organizational performance.
The course covers topics, such as data collection, analysis, and visualization techniques, as well as how to interpret data for better strategic planning and execution. With a focus on real-world applications, learners enhance their ability to make informed decisions, respond to market changes, and achieve competitive advantage in dynamic business environments.
- Elective (3 units)
The USC Marshall MSBA elective courses offer specialized learning opportunities for students pursuing a career in data analytics and business intelligence. These electives cover advanced topics, such as machine learning, data visualization, predictive modeling, and data-driven decision-making.
Through hands-on projects and real-world case studies, students develop proficiency in using cutting-edge analytics tools and techniques to extract valuable insights from complex datasets.
The MSBA electives allow students to tailor their education to align with their specific career interests, preparing them for success in data-driven roles across industries, where their skills can contribute to strategic business growth and innovation.
- Elective (3 units)
The USC Marshall MSBA elective courses cater to students seeking to excel in the realm of data analytics and business intelligence. These specialized learning opportunities delve into advanced subjects like machine learning, predictive modeling, and data visualization.
Through hands-on projects and real-world case studies, students hone their proficiency in cutting-edge analytics tools, extracting invaluable insights from complex datasets.
The flexibility of MSBA electives enables students to customize their education, aligning it with their unique career aspirations. The program empowers graduates to thrive in data-driven roles, contributing their skills to foster strategic business growth and innovation across diverse industries.
- Elective (1.5 units)
The USC Marshall MSBA elective courses offer specialized learning opportunities for students pursuing a career in data analytics and business intelligence. These electives cover advanced topics, such as machine learning, data visualization, predictive modeling, and data-driven decision-making.
Through hands-on projects and real-world case studies, students develop proficiency in using cutting-edge analytics tools and techniques to extract valuable insights from complex datasets.
The MSBA electives allow students to tailor their education to align with their specific career interests, preparing them for success in data-driven roles across industries, where their skills can contribute to strategic business growth and innovation.
On a side note, DSO 573 can be replaced with either of the following:
- DSO 574: Getting Ready for Big Data (3 units- Offered in the Spring)
The Getting Ready for Big Data course is a specialized program that prepares participants to handle the challenges and opportunities presented by big data. Through this course, learners acquire a fundamental understanding of big data concepts, technologies, and applications. They learn about data storage and processing frameworks, data management strategies, and the importance of data security and privacy.
The course also delves into data visualization techniques and analytics tools tailored for large datasets. Participants gain practical skills to extract valuable insights, make data-driven decisions, and derive actionable intelligence from vast and diverse data sources. By the end, learners are well-equipped to navigate the big data landscape and leverage its potential in their respective domains.
- DSO 556: Business Models for Digital Platforms (3 units)
The Business Models for Digital Platforms course is a specialized program that focuses on understanding the unique strategies and concepts behind successful digital platforms. Participants gain insights into the various business models that drive digital platform ecosystems, including marketplace models, subscription models, and advertising-based models.
The course explores key elements like user acquisition, engagement, and retention, as well as monetization strategies and platform scalability. Participants also learn about the role of data analytics in optimizing platform performance and user experience. With a blend of theoretical knowledge and practical case studies, learners develop the expertise needed to create, sustain, and innovate digital platforms in today’s dynamic and competitive digital landscape.
Programming
The USC Marshall MSBA Programming course is a key component of the MSBA program, designed to equip students with advanced technical skills necessary for data analysis and decision-making in today’s data-driven business landscape. The course focuses on teaching students various programming languages and tools commonly used in the field.
Students are given the opportunity to learn about programming principles, such as Data Cleaning, Data Wrangling, Data Visualization, Web Scraping, Database Management, Python (the main language of study), R, SQL, and NoSQL.
Statistics + Machine Learning
- Probability Distributions
The Probability Distributions course explores fundamental concepts in probability theory, focusing on various probability distributions and their applications. Students learn about discrete and continuous distributions, including binomial, normal, exponential, and Poisson. The course emphasizes statistical inference, probability density functions, and cumulative distribution functions to analyze real-world data and make informed decisions.
- Inferential Statistics
The Inferential Statistics course delves into advanced statistical methods used to draw conclusions and make predictions from sample data to larger populations. Topics covered include hypothesis testing, confidence intervals, regression analysis, ANOVA, and chi-square tests. Students gain the skills to analyze data, make inferences, and draw meaningful conclusions for various research and practical applications.
- Supervised Learning Methods (linear regression, logistic regression, lasso, ridge regression, decision trees, LDA, QDA, KNN, PCR, neural networks, random forests, SVM)
The Supervised Learning Methods course offers a comprehensive study of various techniques used in supervised machine learning. Students explore linear regression, logistic regression, lasso, ridge regression, decision trees, LDA, QDA, KNN, PCR, neural networks, random forests, and SVM. Through practical applications and theoretical foundations, participants learn to build predictive models, classify data, and tackle real-world problems using these powerful algorithms.
- Unsupervised Learning Methods (k-means, hierarchical clustering)
The Unsupervised Learning Methods course focuses on essential algorithms in unsupervised machine learning. Students delve into k-means clustering and hierarchical clustering techniques. Through hands-on projects and theoretical exploration, participants learn to uncover patterns, group data, and gain insights from unlabeled datasets. The course equips learners with valuable skills to analyze complex data structures and make data-driven decisions.
- Deep learning (CNN, RNN, LSTM, GAN)
The Deep Learning course delves into cutting-edge artificial intelligence techniques. Students explore Convolutional Neural Networks (CNNs) for image recognition, Recurrent Neural Networks (RNNs) for sequential data analysis, Long Short-Term Memory (LSTM) networks for memory retention, and Generative Adversarial Networks (GANs) for creative content generation. Through hands-on projects, learners gain proficiency in building and training deep learning models to solve complex real-world challenges.
- Simulation Models, Linear, Non-linear, Discrete, Dynamic Optimization
The Simulation Models, Linear, Non-linear, Discrete, Dynamic Optimization course covers diverse optimization techniques. Students learn simulation modeling to mimic real-world systems. Linear and non-linear optimization methods are explored, along with discrete optimization for combinatorial problems. Dynamic optimization focuses on time-varying systems. Through practical exercises, participants master the art of optimizing processes, making data-driven decisions, and improving system efficiency across various domains.
Business Strategy
- Marketing Analytics
The Marketing Analytics course provides essential skills for analyzing and interpreting data to optimize marketing strategies. Topics include data visualization, customer segmentation, and performance measurement for effective decision-making.
- Fraud Analytics
The Fraud Analytics course equips students with the necessary knowledge and tools to identify and combat fraudulent activities using data-driven techniques, including data mining, machine learning, and statistical analysis.
- Operations Analytics
The Operations Analytics course explores how data analysis and optimization techniques can enhance operational efficiency and decision-making in various industries, covering topics such as supply chain management, process improvement, and resource allocation.
- Game Analytics
The Game Analytics course delves into the use of data analysis and metrics to understand player behavior, optimize game design, and improve overall gaming experiences for increased engagement and retention.
- Time-Series Analytics
The Time-Series Analytics course focuses on analyzing and forecasting data that is collected over time, enabling students to understand patterns, trends, and make predictions for various applications like finance, economics, and environmental studies.
- Healthcare Analytics
The Healthcare Analytics course explores how data analysis and machine learning techniques can be applied to healthcare data to improve patient outcomes, optimize operations, and enhance healthcare decision-making for better overall healthcare management.
- Supply Chain Analytics
The Supply Chain Analytics course provides comprehensive training on data-driven strategies, tools, and techniques to optimize supply chain operations, improve efficiency, and make informed decisions for successful business outcomes.
- Pricing Strategies
The Pricing Strategies course equips learners with the knowledge and skills to develop effective pricing models, understand consumer behavior, and implement pricing strategies that drive profitability and market success.
- Text Analytics and Natural Language Processing
The Text Analytics and Natural Language Processing course teaches participants how to extract insights from textual data, apply NLP techniques, and build AI models for language understanding and sentiment analysis.
- Business Communication
The Business Communication course focuses on enhancing communication skills in professional settings, covering effective writing, presentation, and interpersonal communication to build strong relationships and succeed in the business world.
- Dashboarding
The Dashboarding course teaches participants how to create informative and visually appealing dashboards using data visualization tools, enabling them to present complex data concisely and make data-driven decisions efficiently.
- Consultation
The Consultation course provides training on effective communication, problem-solving, and client management skills, empowering participants to offer valuable expertise and guidance to clients across various industries and domains.
- Collaboration
The Collaboration course equips participants with essential teamwork and communication skills, fostering a collaborative environment to enhance productivity, creativity, and efficiency within organizations and across diverse projects and teams.
- Strategy
The Strategy course focuses on teaching participants how to formulate, implement, and evaluate effective business strategies to achieve long-term goals, stay competitive, and adapt to dynamic market conditions successfully.
- Problem Solving
The Problem Solving course provides learners with systematic approaches and critical thinking techniques to analyze complex issues, identify root causes, and develop innovative solutions for various challenges in personal and professional settings.
- Problem Framing
The Problem Framing course teaches learners how to define and articulate problems effectively, ensuring a clear understanding of the context and goals before proceeding with problem-solving strategies and generating innovative solutions.
USC Marshall MSBA Admission Requirements
The USC Marshall MSBA program has specific admission requirements that applicants need to fulfill. Here is an overview of the requirements:
Education:
A bachelor’s degree from an accredited institution is mandatory. While there is no specific undergraduate major requirement, a strong foundation in quantitative coursework is highly recommended.
Work Experience:
At the time of application, a minimum of 1.5 years of full-time work experience after completing the Bachelor’s degree is required.
GMAT/GRE:
Good scores in the GMAT/GRE are mandatory for full-time applicants, regardless of work experience. Applicants are required to submit their official transcripts as part of the application process, showcasing their academic performance. Additionally, the Graduate Management Admission Test (GMAT) or the Graduate Record Examination (GRE) scores are essential components of the application. These standardized test scores help evaluate an applicant’s analytical and critical thinking abilities.
English Proficiency:
If the medium of instruction during undergraduate or postgraduate studies was not entirely in English, applicants must provide valid TOEFL or IELTS scores. English proficiency test scores are mandatory for international applicants whose native language is not English. USC accepts scores from the TOEFL, IELTS, or PTE Academic tests.
Meeting these admission requirements is essential to be considered for the USC Marshall MSBA program.
USC Marshall Campus and Location
Location and Regional Benefits
The USC Marshall School of Business benefits from its strategic location in Los Angeles, California. Here are the key advantages:
- Access to Industry Leaders: Being situated in Los Angeles, USC Marshall School of Business has close proximity to numerous industry leaders in entertainment, technology, and finance, offering students unparalleled networking opportunities.
- Vibrant Business Ecosystem: Los Angeles is a thriving business ecosystem, providing students with exposure to diverse industries, startups, and established companies, fostering innovation and entrepreneurship.
- Entertainment Capital: As the entertainment capital of the world, Los Angeles offers unique insights and connections to the entertainment and media industries, giving USC Marshall students a competitive edge in this field.
- Tech Hub: With a rapidly growing technology sector, Los Angeles provides students with access to cutting-edge tech companies, encouraging them to stay at the forefront of technological advancements.
- International Trade Hub: Being a major international trade hub, Los Angeles offers students exposure to global business practices and opportunities, enhancing their understanding of the international marketplace.
- Access to VC and Investment Opportunities: The city’s thriving venture capital scene and abundant investment opportunities provide USC Marshall students with a chance to learn from and engage with investors and startups.
- Cultural Diversity: Los Angeles is a melting pot of cultures, offering students a chance to engage with people from diverse backgrounds, which enhances their cross-cultural understanding and adaptability in the global business world.
- Dynamic Alumni Network: USC Marshall’s strategic location in LA contributes to a robust alumni network that extends to influential business leaders, creating valuable mentorship and career advancement possibilities for students and graduates.
To sum it all up, the USC Marshall School of Business’ location in Los Angeles, California, offers a thriving business ecosystem, a focus on the United States, cultural diversity, excellent connectivity, and a strong regional network.
Resources Available to USC Marshall Students
The USC Marshall School of Business offers a wide range of resources and support to enhance the student experience and facilitate personal and professional development. Here are some notable resources available to students:
- Career Services: USC Marshall offers career counseling, job search support, and networking opportunities to help students with their post-graduation plans.
- Marshall Community of Women (MCW): A supportive network for female students, offering mentorship and leadership development.
- Academic Advising: Students can receive guidance from academic advisors to plan their course schedules and ensure they are on track with their academic goals.
- Marshall Student Organizations: There are various student clubs and organizations focused on specific business interests, providing opportunities for networking and skill development.
- Marshall’s Experiential Learning Center (ELC): Offers hands-on learning experiences through internships, consulting projects, and other real-world business opportunities.
- Business Library: USC Marshall students have access to a well-equipped business library that provides research materials and resources.
- Marshall Tutoring Program: Peer tutoring is available for students who may need extra academic support.
- Marshall Career Source: An online platform that connects students with internship and job opportunities posted by employers specifically targeting USC Marshall students.
In a nutshell, the USC Marshall School of Business offers a comprehensive range of resources for its students. These resources contribute to a well-rounded and supportive environment for students’ personal, academic, and leadership development.
USC Marshall MSBA Program Costs and Financial Aid
Tuition and fees
The tuition fees for the USC Marshall MSBA program amount to $72,500. Additionally, there is an estimated living cost of $20,000. It’s important to note that tuition fees are subject to change, so it’s advisable to visit the USC Marshall tuition fee page as well.
Scholarships and financial aid options
Pursuing an MSBA is a significant investment in your future and a crucial decision. USC Marshall understands the importance of supporting exceptional candidates in realizing their aspirations. That’s why they offer a range of grants and merit-based scholarships to deserving individuals.
A small number of scholarships are available through the MSBA program for accepted students. Both domestic and foreign students may apply. For priority consideration for scholarships, applicants are encouraged to apply as soon as possible. Candidates will be taken into account overall and evaluated according to merit, diversity, and need. Within the admissions application, students must respond to an additional essay question if they wish to be considered for a scholarship. The scholarship is not available through a separate application.
Recap of Key Points
- Education: Applicants must possess a Bachelor’s degree.
- Work Experience: At the time of application, a minimum of 1.5 years of full-time work experience after completing the Bachelor’s degree is required.
- GMAT/GRE: Good scores in the GMAT/GRE are mandatory for full-time applicants, regardless of work experience.
- TOEFL/IELTS: Valid TOEFL or IELTS scores are required if the medium of instruction was not entirely in English.
- Campus Location: USC Marshall in LA offers access to industry leaders, vibrant business ecosystem, entertainment and tech hubs, international trade, and dynamic alumni.
- Regional Benefits: USC Marshall in LA provides networking with industry leaders, access to entertainment and tech industries, international trade exposure, and diverse culture.
- Resources Available: The USC Marshall School of Business provides its students with access to a wide variety of materials. These tools enhance the development of students’ leadership, academic, and personal skills in a well-rounded and encouraging atmosphere.
- Program Costs: Tuition fees for the USC Marshall MSBA program amount to $72,500, with an estimated living cost of $20,000.
- Financial Aid: USC Marshall offers grants and merit-based scholarships for exceptional candidates. Applicants can also explore other funding options to support their MSBA journey.
- Reminder: Visit the official USC Marshall website for detailed and updated information on the USC Marshall MSBA program, including admission requirements, financial aid options, and any recent changes.
Call to action or next steps for interested readers
If you found this blog post on the USC Marshall MSBA program insightful and are considering pursuing an MSBA at USC Marshall, I encourage you to stay tuned for our upcoming blog on “How to Get into the USC Marshall MSBA Program.” This blog will delve into crafting a robust application, including writing compelling essays, securing solid letters of recommendation, and presenting yourself effectively during interviews. We will also cover essential deadlines and offer valuable tips to enhance your chances of admission.
Whether you’re a prospective full-time or part-time student, this upcoming blog will serve as a valuable resource to navigate the application process successfully. It will equip you with the knowledge and insights to present your skills, experiences, and aspirations in the best possible light.
Getting into the USC Marshall MSBA program is an exciting journey, and we are here to support you every step of the way. Stay tuned for our comprehensive guide on “How to Get into the USC Marshall MSBA Program” and take the first step towards realizing your academic and career goals.
Remember, preparation and a thorough understanding of the application process can make a significant difference. We look forward to helping you navigate the path to your dream MSBA program at USC Marshall.
