Learn to Analyze and Manage Risk
The Master of Science in Actuarial Science at Boston University’s Metropolitan College (MET) provides you with the tools and knowledge to excel as an actuary. A solid foundation in calculus and multivariate calculus is recommended for applicants to this program.
The world is filled with uncertainty and risk—and successful businesses need to quantify these risks. With their mathematical ability, analytic tools, and computer programming skills, actuaries are uniquely qualified to develop solutions to increasingly complex problems and to help quantify and manage risk for businesses in a variety of industries. By using data and models, actuaries have the expertise to determine the probability of certain future events. As an actuary, you develop ways to mitigate the impact of adverse financial circumstances on businesses, governmental agencies, and other organizations.
Program at a Glance
- On Campus
- Part-Time or Full-Time Study
- STEM Designated
- 43 Credits
- 21–36 Months to Completion
- 10 Core Faculty
- No GRE/GMAT
- Tuition & Fees Range—Part-Time Study*: $38,960-$42,320
*Based on 2023–2024 Boston University tuition and fees. Merit scholarship may reduce cost.
Prepare for a Rewarding Career as an Actuary
With a master’s degree in Actuarial Science from BU MET, you are well-positioned to work in a variety of traditional and non-traditional actuarial roles. Actuarial skills are valued in any field in which strong abilities in predictive risk analysis, mathematics, and statistics are essential to developing business strategies. Though actuaries work in a variety of areas, they are most notably integral in the insurance industry. Their analytic skills and ability to quantify risk and uncertainty make actuaries invaluable to insurance and financial teams, and essential to health insurance, life insurance, property and casualty insurance (automobile and homeowners insurance), and pension and health consulting firms. Actuaries are also employed by government agencies, accounting firms, banks, and financial services companies.
According to the Society of Actuaries (SoA) and Casualty Actuarial Society (CAS), “Actuaries are the leading professionals in finding ways to manage risk. It takes a combination of strong analytical skills, business knowledge, and understanding of human behavior to manage today’s complex risks facing our society.” As industry practitioners, BU MET’s Actuarial Science faculty not only teach the basic information you need to succeed in an actuarial field, but give you the insight to “think like an actuary” when confronted with a real-world problem. Whether you decide to specialize in health insurance, life insurance, property and casualty insurance, pension and retirement benefits, enterprise risk management, or a less traditional actuarial role, your Actuarial Science master’s degree from Boston University will be valuable to you and to your employer.
Preparation for Professional Examinations
Courses in BU MET’s Actuarial Science master’s degree program are designed to not only help you have a deep understanding of the subject matter, but to assist you in preparing for examinations offered by the SoA and CAS. These examinations are essential in an actuary’s career. Students who follow the SoA exam track will typically work in fields such as life insurance, health insurance, long-term care insurance, and pension plans, all of which use the probability of mortality. Those who take the CAS series of exams will work for companies that develop premiums for risks that are more quantifiable, such as automobile and homeowners insurance.
Society of Actuaries’ “UCAP-AC” designation
BU is the only university in northern New England that offers a master’s degree in Actuarial ScienceLearn More
Receive more details about your program of interest.Learn More
U.S. News & World Report
Actuaries rank #8 in Best Business Jobs for 2023.Learn More
Top 10 Best Jobs of 2021Learn More
“The program provides a great opportunity to learn about the actuarial profession from real, working actuaries on top of the standard learning process for the degree and actuarial exams. Students should take full advantage of having experienced actuaries leading the courses and take any opportunities they can to learn and connect with them.”—Martin Chi (MET’12), Actuarial Analyst, Towers Watson
What Is My Career Outlook as a Graduate of This Program?
Total number of US Jobs
Annual job openings
Annual job openings
Projected ten-year growth in jobs
(faster than average)
Median annual salary
Common job titles include:
- Actuarial Associate
- Actuarial Student
- Forecast Analysts
Employers seek expertise in:
- Statistical Analysis
- Statistical Methods
- Statistical Modeling
BU MET job-hunting resources,
one-on-one career counseling, and more.
Why Study to be an Actuary at BU MET?
- Active Learning Environment: BU MET’s Actuarial Science courses ensure that you gain practical skills solving real problems alongside actuaries who work in the industry. A selection of programming and computer courses bring real-world examples into lectures, ensuring that you gain a deep knowledge of data tools and their application.
- Career Counseling: MET’s Career Development office and BU’s Center for Career Development offer a variety of job-hunting resources, including one-on-one career counseling by appointment for both online and on-campus students.
- Engaged Faculty: BU MET’s Actuarial Science master’s degree program is taught by SoA- and CAS-credentialed faculty who bring unique expertise and practical insight into the classroom, using actual actuarial problems as examples to supplement course material.
- Extensive Network: Graduates of the MS in Actuarial Science program benefit from faculty members’ connections to the industry and from a local pool of successful, practicing alumni who work for organizations such as Towers Watson, Blue Cross Blue Shield, John Hancock, Liberty Mutual, and the Massachusetts Department of Insurance.
- STEM Designated: Eligible graduates on student visas have access to an Optional Practical Training (OPT) of 12 months and an extension for up to 24 additional months.
- Student Support: Enjoy an exceptional student-to-instructor ratio, ensuring close interaction in the classroom with faculty mentors. The program’s faculty are readily available for advice and support.
- Valuable Resources: Make use of Boston University’s extensive resources, including the Center for Career Development, Educational Resource Center, Fitness & Recreation Center, IT Help Centers, Mugar Memorial Library, Center for Antiracist Research, Howard Thurman Center for Common Ground, George Sherman Union, and many others.
- Flexible Schedule: Study at the pace that works for you. Complete the program in as little as one year or take one or two courses per semester and complete the degree over several years—ideal for students who are working full time. Students may begin the program in the fall, spring, or summer semester.
- Track Record: Learn from the best. BU MET’s master’s degree program in Actuarial Science has been graduating successful actuarial students for over 25 years.
- Merit Scholarships: US citizens and permanent residents are automatically considered during the application process and nominated based on eligibility. Learn more.
Master the Tools of the Actuarial Science Profession
Metropolitan College’s Department of Actuarial Science will help you acquire the skills you need to become a successful actuary in today’s competitive job market. You will gain both an excellent academic foundation and practical exposure to real-world business environments.
If you have an analytical mind and enjoy working with financial theory, a career as an actuary could be an excellent opportunity for you. Actuarial science uses a combination of statistics, mathematics, economics, finance, data science, and other fields to allow actuaries to make crucial policy decisions in an unpredictable business world. With this specialized knowledge comes enhanced compensation. According to the Bureau of Labor Statistics (BLS), the median salary for recent actuarial science graduates is higher than the average for other professions. And, the BLS predicts a 24 percent increase in opportunities through 2030.
With a faculty made up of academic actuaries, practicing actuaries, and actuaries who have extensive real-world experience, BU MET’s master’s program in Actuarial Science helps you develop the skills you need to become a credentialed actuary. You will gain a solid academic foundation through specialized courses in actuarial science, data science, finance, and related fields. You will also benefit from being exposed to current business and economic practices while examining the fiscal and ethical dilemmas encountered in the process of business decision-making.
Located in one of the nation’s top financial and insurance centers, Boston University offers an unmatched environment to learn and to find both internships and full-time employment. BU’s Actuarial Science program has the Society of Actuaries’ “UCAP-AC” designation and is the only university in northern New England that offers a master’s degree in Actuarial Science.
You can take courses to receive “Validation by Educational Experience (VEE)” credit from the SoA and CAS. By taking VEE courses, which also count toward your master’s in Actuarial Science degree, you have an advantage when seeking employment.
Graduate with Expertise in Calculating Risk
Metropolitan College’s Actuarial Science master’s degree will equip you with:
- Detailed knowledge of the mathematical and statistical models that are the core of actuarial calculations. This knowledge includes topics in probability, life contingencies, loss models, and financial mathematics and derivatives. Our program emphasizes precision, accuracy, and a deep understanding of these core actuarial topics.
- Proficiency in distinguishing and describing many actuarial practice areas, and an understanding of the principles that govern the development of insurance products for those areas, including emerging trends.
- Computer and data science skills you will need to analyze data using leading edge software tools employed by the insurance and financial industries.
Master’s in Actuarial Science Curriculum
A total of 43 credits is required.
In addition to a computer laboratory course (MET AT 602), students are required to take a minimum of 40 credits at the 500 level or above. All required courses are selected from the following lists of core required courses and core elective courses.
Given the nature of the program, we recommend a foundational knowledge of calculus and multivariate calculus. Applicants who do not have a sufficient math background may be required to complete a prerequisite course in these topics prior to enrollment.
Core Required Courses
(Four courses/15 credits)
MET AT 602 Laboratory for Actuarial and Financial Data Analysis II
This course covers the usage of spreadsheet and database software in an insurance setting. The student will work on calculating premiums and analyzing loss metrics over the term while learning about the tools in Microsoft Excel and Access that help an actuary perform their analysis in a timely and accurate manner. Ten sessions. [ 3 cr. ]
|A1||IND||Patashnick||CAS B25A||S||9:30 am – 11:45 am|
MET AT 721 Mathematics of Compound Interest
This course develops uses of interest as it relates to the theory of finance. Students will gain an understanding of interest calculations related to financial instruments such as bonds, mortgages, annuities, and financial instruments with non-level payment schemes. The material covered in this course may help students prepare for SoA/CAS Exam FM. [ 4 cr. ]
|A2||IND||Patashnick||CAS 320||M||6:00 pm – 8:45 pm|
MET AT 722 Finance for Actuaries
This course builds off of the topics covered in AT721 ("Mathematics of Compound Interest") by developing both basic and advanced models of corporate finance. Topics covered include net present value valuation, internal rate of return and profitability index models, capital budgeting models, and efficient market hypotheses. These tools will be used to understand and apply basic principles of option pricing theory, including the Black-Scholes formula with application to binomial lattice valuation. The material covered in this course may help students prepare for SoA/CAS Exam FM. [ 4 cr. ]
MET AT 731 Actuarial Mathematics I
This course covers the fundamental principles of actuarial science. Students will be introduced to basic actuarial concepts of survival models, such as probabilities of survival and death, then use these concepts to develop expressions for life expectancies. Life insurance and life annuities are then introduced, and the course will develop detailed methods for the valuation of each, including payments made more often than annually. The final topic for the course is the methodology of calculation of premiums for both insurance and annuity models. For all these topics, a basic framework will be presented, then more sophisticated models are developed. The material covered in this course may help students prepare for SoA Exam LTAM. [ 4 cr. ]
|A1||IND||Tepfer||EOP 262||M||6:00 pm – 8:45 pm|
A total of seven courses (28 credits) is required, selected from the following course offerings:
MET AT 732 Actuarial Mathematics II
This continues with the development of financial models first introduced in AT731 ("Actuarial Mathematics I"). Insurance Reserves are introduced, including methods for determining reserves, the impact of actuarial assumptions on the calculations, and the effect of real-world results that do not match those assumed. The expands on the material from AT731 by addressing multiple life and multiple decrement functions. The latter part of the course focuses on Multiple State/Markov Chains and pension mathematics. The material covered in this course may help students prepare for SoA Exam LTAM. [ 4 cr. ]
MET AT 741 Actuarial Statistics I
This course provides students with the mathematical background to non-life models, such as medical and automobile insurance. Topics covered include severity loss models for claims and frequency models for occurrence of those claims. The severity and frequency models are then brought together, and aggregate models are addressee. During the semester, students are presented with modification to both severity and frequency models including deductibles and claims limits. The course emphasizes applications of statistical principles in actuarial models and modeling. The material covered in this course may help students prepare for SoA Exam STAM and CAS Exam MS II. [ 4 cr. ]
MET AT 742 Actuarial Statistics II
This course expands on the material covered in AT741 ("Actuarial Statistics I)" by expanding the discussion of Aggregate Models. Actuarial statistical models are then addressed, including evaluation of both complete and incomplete data. Estimators for the actuarial models are developed in concert with these topics. The course also covers mathematical models for specific types of insurance, such as medical, automobile, and disability insurance. Credibility models comprise the final topic for the course, and the Buhlmann-Straub credibility model and Bayesian methods are discussed. The material covered in this course may help students prepare for SoA Exam STAM and CAS Exam MS II. [ 4 cr. ]
MET AT 743 Regression and Time Series
Part I of this course will cover simple and multiple regressions, serial correlation, and heteroscedasticity, analysis of residuals, and stepwise analysis techniques. Part II will cover time series analysis including smoothing and extrapolation of time series, linear time series models, model building procedure, and forecasting, as well as case studies. [ 4 cr. ]
|A1||IND||Gangopadhyay||CGS 111A||T||6:00 pm – 8:45 pm|
MET AT 751 Individual Insurance Applications of Actuarial Principles
This course covers the application of basic actuarial principles to individual life and annuity financial security systems. Material covered will include the purpose of these systems, the development of financial security products, risk classification, actuarial pricing assumptions, the calculation of product cash flows, the purpose of reserves and different reserve methods. Taxation, required capital, profit measurement, and reinsurance considerations will also be studied. [ 4 cr. ]
MET AT 752 Group Insurance Applications of Actuarial Principles
This course covers the application of basic actuarial principles to group life and group health financial security systems. Material covered will include the purpose of these systems, financial security product design and development, underwriting and risk management, premium determination, and the funding and valuation of group life and group health financial security systems. Group systems in the United States will be emphasized, but the course will also review the Canadian health system. [ 4 cr. ]
MET AT 754 Casualty Insurance Principles
MET AT 754 is a survey of the Property and Casualty Industry from an actuarial science perspective. Topics will include the theory of insurance, including what risks are insurable, how to calculate premiums on them, and pay losses on the inevitable claims; the history of the insurance industry, focusing on court cases that shaped the current regulatory structure; the basic policy structures of homeowners, auto, and liability insurance; and reinsurance. [ 4 cr. ]
|A1||IND||Patashnick||SAR 102||W||6:00 pm – 8:45 pm|
MET AT 761 Mathematics for Investment and Portfolio Theory
This course covers the risk and return characteristics of primary financial products, fundamental principles of modern portfolio theory, term structures and yield curves, Markowitz Portfolio Selection Model, CAPM and its applications to portfolio management, derivative securities, duration, immunization, and interest rate risk management. [ 4 cr. ]
|A1||IND||Smith||STH 441||W||6:00 pm – 8:45 pm|
MET AT 762 Mathematical Finance for Actuarial Science
This course covers the analysis of derivative products and their use in insurance and risk management strategies. It covers selected aspects of rational valuation of derivative products like put-call parity, binomial option, and Black Scholes option pricing model. [ 4 cr. ]
MET AT 782 Pension Mathematics and Mortality Tables
This course covers pension actuarial funding methods and the use of life contingencies. Included are analyses of actuarial funding methods under eight different models, the computations under each, and their uses in pension plans throughout the world. Mortality tables are discussed, including the development of tables under the Makeham mortality model and the use of existing mortality tables, the modification to reflect mortality improvement in each, and the reasons an actuary would or would not consider doing so. Alternative forms of pension payment are discussed. [ 4 cr. ]
MET AT 990 Seminar in Actuarial Science
Seminars are offered for special topics related to actuarial science, life insurance, casualty insurance, insurance medicine, mortality and mobility, health outcomes, economics, policy, pension, social insurance, mathematical finance, statistics, and other related fields. Variable cr. [ 4 cr. ]
MET MA 581 Probability
Basic probability, conditional probability, independence. Discrete and continuous random variables, mean and variance, functions of random variables, moment generating function. Jointly distributed random variables, conditional distributions, independent random variables. Methods of transformations, law of large numbers, central limit theorem. [ 4 cr. ]
MET MA 582 Mathematical Statistics
Interval estimation. Point estimation including sufficiency, Rao-Blackwell theorem, completeness, uniqueness, Rao-Cramer inequality, and maximum likelihood estimation. Tests of hypothesis: uniformly most powerful tests, uniformly most powerful unbiased tests, likelihood ratio test, chi-squared test, comparison of means and variances, ANOVA, regression, and some nonparametric tests. [ 4 cr. ]
|A1||IND||Weiner||EPC 206||R||6:00 pm – 8:45 pm|
MET MA 603 SAS with Statistical Applications
Offers a unified and in-depth coverage of the statistical computer package SAS, and its statistical applications. Topics include the language of SAS, data formatting, creating and storing SAS data sets, file manipulations, macro procedure, and graphics. Also included are procedures for statistical techniques selected from analysis of variance, regression, factor analysis, scoring, and categorical data analysis. Several large data sets will be used as case studies emphasizing hands-on experience with SAS for Windows. Laboratory course. [ 4 cr. ]
Students who have completed any of the above coursework in undergraduate or graduate studies, or who have successfully passed the corresponding professional examinations, may substitute these courses with courses available through other departments at BU MET— most notably the Administrative Sciences and Computer Science departments—as well as BU’s College of Arts & Sciences (CAS) or Questrom School of Business. The Actuarial Science department must approve any such course. Approval must also be obtained from CAS or Questrom. Typically, students are allowed to take two courses from outside of the Actuarial Science department as part of their degree.
Among courses that students have received approval for include:
MET AD 571 Business Analytics Foundations
Prereq: AD100 Pre-Analytics Laboratory and ADR100 Introduction to R
This course presents fundamental knowledge and skills for applying business analytics to managerial decision-making in corporate environments. Topics include descriptive analytics (techniques for categorizing, characterizing, consolidating, and classifying data for conversion into useful information for the purposes of understanding and analyzing business performance), predictive analytics (techniques for detection of hidden patterns in large quantities of data to segment and group data into coherent sets in order to predict behavior and trends), prescriptive analytics (techniques for identification of best alternatives for maximizing or minimizing business objectives). Students will learn how to use data effectively to drive rapid, precise, and profitable analytics-based decisions. The framework of using interlinked data inputs, analytics models, and decision-support tools will be applied within a proprietary business analytics shell and demonstrated with examples from different functional areas of the enterprise. R, SQL, and Power BI software are used in this course. [ 4 cr. ]
|A1||IND||Appari||COM 215||M||2:30 pm – 5:15 pm|
|A2||IND||Staff||COM 217||M||6:00 pm – 8:45 pm|
|A3||IND||Kanza||CAS 204A||T||6:00 pm – 8:45 pm|
|A4||IND||Ritt||SOC B57||W||6:00 pm – 8:45 pm|
|A5||IND||Tayaksi||PSY B33||R||12:30 pm – 3:15 pm|
MET AD 630 Financial and Managerial Accounting
Introduction to the concepts, methods, and problems of financial and managerial accounting. Includes data accumulation, accounting principles, financial statement analysis, measurement and disclosure issues, cost analysis, budgeting and control, production costs, and standard costs. [ 4 cr. ]
|A1||IND||Mendlinger||STH B22||M||2:30 pm – 5:15 pm|
|A2||IND||Sumani||COM 213||W||6:00 pm – 8:45 pm|
MET AD 632 Financial Concepts
Introduction to the concepts, methods and problems of accounting and financial analysis. Includes accounting principles, measurement and disclosure issues, financial statement analysis, time value of money, cash flow projection and analysis, capital budgeting and project evaluation, bond and equity valuation, cost of capital and capital structure. 4 cr. Effective Fall 2021, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Critical Thinking. [ 4 cr. ]
|A1||IND||Mcgue||CGS 515||M||2:30 pm – 5:15 pm|
|A2||IND||Kanza||CAS 235||M||6:00 pm – 8:45 pm|
|A3||IND||Mcgue||CDS 264||T||12:30 pm – 3:15 pm|
|A4||IND||Barazi||MCS B29||T||6:00 pm – 8:45 pm|
|A5||IND||Mendlinger||COM 215||W||2:30 pm – 5:15 pm|
|A6||IND||Bitran||PSY B55||W||6:00 pm – 8:45 pm|
|A7||IND||Mcgue||CAS 237||R||6:00 pm – 8:45 pm|
|A8||IND||Mcgue||CAS 218||F||11:15 am – 2:00 pm|
MET AD 712 Financial Markets and Institutions
Prereq: MET AD630, MET AD731
Investigation and analysis of organization, structure, and performance of U.S. money and capital markets, and institutions. Examines regulation of the financial industry and the role of financial instruments. [ 4 cr. ]
|A1||IND||Noorian||MCS B33||M||6:00 pm – 8:45 pm|
|A2||IND||Ahmed||CAS 218||T||6:00 pm – 8:45 pm|
|A3||IND||Kennedyherna||CGS 515||W||6:00 pm – 8:45 pm|
|A4||IND||Ahmed||PSY B55||R||6:00 pm – 8:45 pm|
MET AD 713 Derivative Securities and Markets
Prereq: MET AD630, MET AD731
Provides an overview of operation, mechanics, and structure of the derivative markets and covers in-depth quantitative valuation of derivative instruments, such as options, futures, and swaps. The course involves risk analysis including risk arbitrage, and risk management. Emphasizes the theory and practice of derivatives-based trading strategies including hedging opportunities for risk mitigation. [ 4 cr. ]
|A1||IND||Tawawalla||PSY B51||M||6:00 pm – 8:45 pm|
|A2||IND||Athaide||STH B22||W||2:30 pm – 5:15 pm|
|A3||IND||Holmes||MUG 205||W||6:00 pm – 8:45 pm|
MET AD 717 Investment Analysis and Portfolio Management
Prereq AD 630, AD731
This course develops a framework for understanding the various types of financial decision making faced by financial managers and provides students with analytical tools for evaluating portfolio construction and management problems in a systematic manner. Includes analysis and determination of securities values. Problems of investment policy are approached through studies of portfolio selection methods and the valuation of special classes of securities. It offers quantitative strategies for portfolio diversification and risk management. [ 4 cr. ]
|A1||IND||Halperin||MCS B29||M||6:00 pm – 8:45 pm|
|A2||IND||Staff||CAS 222||T||6:00 pm – 8:45 pm|
|A3||IND||McLaughlin||CAS 204A||W||6:00 pm – 8:45 pm|
|A4||IND||Athaide||COM 217||R||12:30 pm – 3:15 pm|
|A5||IND||Chee||SHA 202||F||11:15 am – 2:00 pm|
MET AD 740 Planning and Operating New Ventures
Includes opportunity assessment and feasibility analysis, concept development, budgeting and financial operations, financial and human resource management, legal and organizational issues analysis, and comprehension and determination of the roles of boards and external advisors, all leading into the planning and operating of new ventures. [ 4 cr. ]
|A1||IND||Park||CAS 208||M||6:00 pm – 8:45 pm|
MET CS 521 Information Structures with Python
This course covers the concepts of the object-oriented approach to software design and development using Python. It includes a detailed discussion of programming concepts starting with the fundamentals of data types, control structures methods, classes, arrays and strings, and proceeding to advanced topics such as inheritance and polymorphism, creating user interfaces, exceptions and streams. Upon completion of this course students will be able to apply software engineering principles to design and implement Python applications that can be used in with analytics and big data. Effective Fall 2021, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Creativity/Innovation, Critical Thinking.
Prerequisite: Programming experience in any language. Or Instructor's consent. [ 4 cr. ]
|A1||IND||Lu||HAR 316||M||6:00 pm – 8:45 pm|
|A2||IND||Chertushkin||CAS 116||T||6:00 pm – 8:45 pm|
|A3||IND||Pinsky||CAS 116||W||8:00 am – 10:45 am|
MET CS 544 Foundations of Analytics and Data Visualization
Formerly titled CS 544 Foundations of Analytics with R.
The goal of this course is to provide students with the mathematical and practical background required in the field of data analytics. Probability and statistics concepts will be reviewed as well as the R tool for statistical computing and graphics. Different types of data are investigated along with data summarization techniques and plotting. Data populations using discrete, continuous, and multivariate distributions are explored. Errors during measurements and computations are analyzed in the course. Confidence intervals and hypothesis testing topics are also examined. The concepts covered in the course are demonstrated using R. Laboratory Course. Prereq: MET CS546 and (MET CS520 or MET CS521), or equivalent knowledge, or instructor's consent. [ 4 cr. ]
|A1||IND||Kalathur||CAS 213||M||6:00 pm – 8:45 pm|
|A2||IND||Pan||CAS 315||T||6:00 pm – 8:45 pm|
MET CS 555 Foundations of Machine Learning
Formerly titled CS 555 Data Analysis and Visualization with R.
This course provides an overview of the statistical tools most commonly used to process, analyze, and visualize data. Topics include simple linear regression, multiple regression, logistic regression, analysis of variance, and survival analysis. These topics are explored using the statistical package R, with a focus on understanding how to use and interpret output from this software as well as how to visualize results. In each topic area, the methodology, including underlying assumptions and the mechanics of how it all works along with appropriate interpretation of the results, are discussed. Concepts are presented in context of real world examples. Recommended Prerequisite: MET CS 544 or equivalent knowledge, or instructor's consent. [ 4 cr. ]
|A1||IND||Zhang||CAS 315||T||12:30 pm – 3:15 pm|
|A2||IND||Alizadeh-Sha||CAS 315||R||12:30 pm – 3:15 pm|
|A3||IND||Alizadeh-Sha||FLR 152||R||6:00 pm – 8:45 pm|
MET CS 565 Advanced Java Programming
Comprehensive coverage of object-oriented programming with cooperating classes. Implementation of polymorphism with inheritance and interfaces and in Java library containers. Programming with exceptions, stream input/output and graphical AWT and Swing components. Threads, sockets, datagrams and database connectivity are also covered in this course. Laboratory course. [ 4 cr. ]
MET CS 579 Database Management
This course provides a theoretical yet modern presentation of database topics ranging from Data and Object Modeling, relational algebra and normalization to advanced topics such as how to develop Web-based database applications. Other topics covered - relational data model, SQL and manipulating relational data; applications programming for relational databases; physical characteristics of databases; achieving performance and reliability with database systems; object- oriented database systems. Prereq: MET CS 231 or MET CS 232; or instructor's consent. Restrictions: This course may not be taken in conjunction with MET CS 469 (undergraduate) or MET CS 669. Refer to your Department for further details. [ 4 cr. ]
|A1||IND||Lee||SOC B63||R||6:00 pm – 8:45 pm|
MET CS 669 Database Design and Implementation for Business
Students learn the latest relational and object-relational tools and techniques for persistent data and object modeling and management. Students gain extensive hands- on experience using Oracle or Microsoft SQL Server as they learn the Structured Query Language (SQL) and design and implement databases. Students design and implement a database system as a term project. Restrictions: This course may not be taken in conjunction with MET CS 469 (undergraduate) or MET CS 579. Only one of these courses can be counted towards degree requirements. [ 4 cr. ]
|A1||IND||Russo||STH 113||M||6:00 pm – 8:45 pm|
|A2||IND||Maiewski||KCB 104||W||6:00 pm – 8:45 pm|
MET CS 677 Data Science with Python
Students will learn major Python tools and techniques for data analysis. There are weekly assignments and mini projects on topics covered in class. These assignments will help build necessary statistical, visualization and other data science skills for effective use of data science in a variety of applications including finance, text processing, time series analysis and recommendation systems. In addition, students will choose a topic for a final project and present it on the last day of class. Prerequisite: MET CS 521 or equivalent. Or, instructor's consent. [ 4 cr. ]
|A1||IND||Pinsky||CAS 226||R||8:00 am – 10:45 am|
|A2||IND||Pinsky||FLR 152||T||6:00 pm – 8:45 pm|
MET CS 682 Information Systems Analysis and Design
Object-oriented methods of information systems analysis and design for organizations with data- processing needs. System feasibility; requirements analysis; database utilization; Unified Modeling Language; software system architecture, design, and implementation, management; project control; and systems-level testing. Prerequisite: Basic programming knowledge or instructor's consent. [ 4 cr. ]
|A1||IND||Guadagno||HAR 240||W||6:00 pm – 8:45 pm|
|A2||IND||Guadagno||HAR 316||R||6:00 pm – 8:45 pm|
MET CS 699 Data Mining
This course aims to study basic concepts and techniques of data mining. The topics include data preparation, classification, performance evaluation, association rule mining, ?regressions and clustering. We will discuss basic data mining algorithms in the class, and students will practice data mining techniques using Python or R. Prereq: CS 521, and CS 546 and either CS 579 or CS 669. Or instructor's consent. [ 4 cr. ]
|A1||IND||Lee||CAS 203||M||6:00 pm – 8:45 pm|
|A2||IND||Lee||CAS 213||W||2:30 pm – 5:15 pm|
Courses in directed studies are offered to students who plan to engage in specialized research topics under the supervision of a faculty advisor.
MET AT 991 Directed Studies I
The course is offered to students who plan to engage in special research topics under the supervision of a faculty advisor. Application is made through the Department of Actuarial Science. [ Var cr. ]
MET AT 992 Directed Studies II
The course is offered to students who plan to engage in special research topics under the supervision of a faculty advisor. Application is made through the Department of Actuarial Science. [ Var cr. ]
Internship courses are also offered to students who seek practical applications of actuarial principles in insurance companies, financial institutions, pension consulting firms, and other related fields. While these courses are not intended to create internship opportunities for students, students find value in the regular meetings of the courses in which they discuss the work they are doing outside of the classroom.
MET AT 981 Internship in Actuarial Science I
The course is offered to students who seek practical applications of actuarial principles in insurance companies, financial institutions, pension consulting firms, and other related fields. [ Var cr. ]
MET AT 982 Internship in Actuarial Science II
The course is offered to students who seek practical applications of actuarial principles in insurance companies, financial institutions, pension consulting firms, and other related fields. The course requires students to participate in an internship program within the industry. Students need to submit monthly progress reports and a final semester report to the Chairman, Department of Actuarial Science at Boston University. [ Var cr. ]
To take internship courses, a student must be in their second or later semester in the program, should have successfully completed MET AT 721 and MET AT 731, and must have an overall GPA of at least 3.3.
Actuarial Science Faculty
Tuition & Financial Assistance
Competitive TuitionOur part-time rates are substantially lower than those of the traditional, full-time residential programs yet provide access to the same high-quality BU education.
Comprehensive Financial AssistanceOur services include scholarships, graduate loans, and payment plans.
How Much Does This Program Cost?
BU MET Programs offer the flexibility of part-time or full-time study. Tuition, fees, and total program cost are determined by enrollment status. If you enroll in 1–2 courses (4–8 credits) in a semester, you are charged the part-time per-credit rate. If you enroll in 3–4 courses (12–16 credits) in a semester, you are charged the full-time semester rate.
MS in Actuarial Science (On Campus)
|Enrollment Status||Part Time||Full Time|
|Courses per Semester||2 courses
|Time to Degree||5 semesters
|Fees per Semester*||$60||$457||$457|
|Total Degree Cost*||$38,960–
*Based on 2023–2024 Boston University tuition & fee rates.
**Cost per credit is determined by course number (100–599 = $535/credit, 600–999 = $955/credit).
***Summer semester enrollment is not required for international students to maintain F-1 visa status. Enrollment in summer semester coursework will expedite completion of program and reduce total program cost.
International students seeking an F-1 visa for on-campus study must enroll full time and demonstrate availability of funds to cover the Estimated Cost of Graduate Study; those who wish to study online may enroll part-time but are not eligible for a visa. Learn more about International Student Tuition & Fees.
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December 12th, 2023 at: 10:00am - 10:30am
Financing your BU MET Graduate Education (for INTERNATIONAL students)
December 12th, 2023 at: 2:00pm - 2:45pm
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December 20th, 2023 at: 10:30am - 11:15am
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