[{"data":1,"prerenderedAt":3810},["ShallowReactive",2],{"biological-data-science-masters-grad-data":3,"header-nav":181,"rfi-data":313,"footer-nav-items":3691},{"data":4},{"programGraduate":5},{"id":6,"detailPage":7,"code":8,"programCode":9,"title":10,"alternateTitle":11,"shortDescription":12,"longDescriptionTitle":13,"longDescription":14,"weeksPerClass":15,"totalClasses":16,"totalCreditHours":17,"nextStartDate":18,"applyNowUrl":19,"metaTagTitle":20,"metaTagDescription":21,"prestigiousFacultyTitle":22,"prestigiousFacultyDescription":23,"facultyImage":24,"videoTitle":25,"videoUrl":25,"degreeImage":26,"degreeImageAlt":27,"category":28,"campusLink":31,"featuredCoursesTitle":32,"featuredCoursesDescription":33,"cmsCourseItems":34,"relatedCareersTitle":106,"relatedCareersDescription":107,"relatedCareersImage":108,"relatedCareersImageAlt":109,"cmsCareerExamples":110,"admissionRequirementTitle":125,"admissionRequirementDescription":126,"admissionRequirementItems":127,"accoladesTitle":134,"accoladesDescription":135,"accoladeItems":136,"faqTitle":25,"faqDescription":25,"faqItems":149,"customBlockTitle":25,"customBlockDescription":25,"customBlockImage":25,"customBlockImageAlt":25,"costOverride":150,"costAcademicYear":151,"latestAcademicYear":151,"resProgramFeeCode":152,"noresProgramFeeCode":152,"costCollection":25,"interestedPrograms":153,"diplomaTitle":179,"diplomaDescription":180,"webinar":25},"a6a51ba5-89b2-4e7e-8dec-8632a7eacc96","/online-degree-programs/graduate/biological-data-science-masters/","GRAS-ASBDSMS","GRAS","Biological Data Science (MS)","Online Master of Science in Biological Data Science","\u003Cp>Arizona State University’s Master of Science in biological data science develops your expertise in using analytical methods and computational tools to interpret scientific data. In this program, you’ll gain a comprehensive understanding of natural sciences through a tailored curriculum and hands-on learning experiences. Upon graduation, you’ll be equipped for a variety of careers in one of the fastest-growing fields.\u003C/p>","How is big data used in biological sciences?","\u003Cp>The analysis of big data in biological sciences can be applied to answer a wide variety of scientific questions. In this program, you’ll learn how to generate, analyze and manipulate big data using various statistical and computational toolsets. To analyze large data sets in the sciences, this program utilizes the Agave Cluster, which includes a large local pool of data center-class graphical processing units that are critical for running high dimensional models. Additionally, this program incorporates hands-on learning to ensure you develop an understanding of:\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"ec474171166acea156f69b7f6108f3857\">Biological data analysis.\u003C/li>\u003Cli data-list-item-id=\"ec294c5351b5fc8a1327db1c187678767\">Programming in open-access software such as Python, R and SQL.\u003C/li>\u003Cli data-list-item-id=\"e1ce958fe2b14e16fc24786ac2dc3b046\">Technical writing.\u003C/li>\u003Cli data-list-item-id=\"e1313982d1a2201cbe951dcb28bcd6df4\">Writing Linux shell scripts for accessing high-performance computing resources.\u003C/li>\u003Cli data-list-item-id=\"e2088886d190dd908e3ebda3c6921fe90\">Writing scientific papers and statistical hypotheses.\u003C/li>\u003C/ul>\u003Ch2 class=\"h2-small mb-space-xs\">Who is a good candidate for a biological data science master’s program?\u003C/h2>\u003Cp>You’ll be a good fit for this program if you have a background in biology and need more computational training, or have a background in computational sciences, seeking further knowledge of natural sciences. In this program, you’ll work with faculty members who have expertise in both areas and will help you bridge the gap between the two. However, this program is designed so that anyone with a bachelor’s degree from any background can be successful if there’s a desire to learn about life sciences.\u003C/p>\u003Cp>Please note, this program focuses on computational sciences and therefore does not include hands-on training in a wet lab.\u003C/p>\u003Ch2 class=\"h2-small mb-space-xs\">Is this program the same as a master’s in bioinformatics?\u003C/h2>\u003Cp>Bioinformatics and biological data science are closely related fields that overlap in their areas of study. A bioinformatics program focuses on developing and applying computational tools to analyze biological data. Whereas, this biological data science program emphasizes using statistical tools, mathematical models and theoretical methods to understand biological systems.\u003C/p>\u003Cp>A bioinformatics program has a narrow focus on genetic and genomic data analysis to provide a highly specialized learning experience. Bioinformatics studies cover advanced skills such as gene sequence alignment, gene prediction and the analysis of genomic data. This biological data science program takes a broader approach and provides a comprehensive overview of data sets within many areas of biology ranging from molecular to ecology. This program is the right fit if you’re interested in gaining a more expansive set of skills that can be applied to various industries within life science.\u003C/p>","7.5",11,33,"01/11/2027","https://webapp4.asu.edu/dgsadmissions/Index.jsp?program=GRAS&plan=ASBDSMS&campus=ONLNE&term=2271&session=REG","Master’s in Biological Data Science | ASU Online","Earn an online master’s degree in biological data science to learn big data techniques and leverage your analytical abilities in multiple biological sectors.","Educators who emphasize giving back","\u003Cp>Prepare for the full New College experience curated by world-renowned faculty who are some of the brightest, most innovative academic minds in the world. Areas of expertise include psychology, anthropology, geography, political science, cybersecurity, forensic science and more. Our faculty strives to create an environment that prepares students to take their place in the world using the skills they’ve learned to pursue careers that benefit their communities.\u003C/p>","https://cms.asuonline.asu.edu/sites/default/files/2020-02/20180906EvgenyaShkolnik_04%402x.jpg",null,"https://cms.asuonline.asu.edu/sites/g/files/litvpz1971/files/program-images/220809-ASU-Thrive-%E2%80%93%C2%A0Ivan-Ermanoski-LightWorks-Hydrogen-research---SM-2716_0.jpg","A Biological Data Science Instructor and Student use a Computer",{"title":29,"slug":30},"Graduate","graduate","https://degrees.apps.asu.edu/masters-phd/major/ASU00/ASBDSMS/biological-data-science-ms","Biological data science master’s courses","\u003Cp>This interdisciplinary program covers a range of topics combining the functions of life sciences, mathematics, statistics, computing and more. In addition to your core curriculum, you’ll select from a variety of elective courses and complete a hands-on capstone project.\u003C/p>",[35,39,42,45,49,52,55,58,61,64,67,70,73,76,79,82,85,88,91,94,97,100,103],{"title":36,"category":37,"description":38,"youtubeVideoId":25,"youtubeVideoDuration":25,"youtubeVideoUploadDate":25},"Foundations of Biostatistics","Core","\u003Cp>Statistical concepts and fundamental methods applicable to biological data science. Emphasizes the practical application to biological contexts and communication of results, using data science software such as R and/or Python. Explores statistical concepts and methodologies including hypothesis testing, confidence intervals, correlation, probability, analysis of variance, chi-squared tests and linear regression within biological and life science contexts.\u003C/p>",{"title":40,"category":37,"description":41,"youtubeVideoId":25,"youtubeVideoDuration":25,"youtubeVideoUploadDate":25},"Advanced Biostatistics and Machine Learning","\u003Cp>Covers both classical and modern statistical tools for biological data analysis. Explores a range of advanced topics to analyze complex biological data, including logistic regression analysis, experimental design, single and multifactor ANOVA, principal component analysis, longitudinal analysis and survival analysis. Emphasizes practical applications using real-world datasets from biological research to perform statistical modeling and inference.\u003C/p>",{"title":43,"category":37,"description":44,"youtubeVideoId":25,"youtubeVideoDuration":25,"youtubeVideoUploadDate":25},"Artificial Intelligence Technologies","\u003Cp>Teaches artificial intelligence (AI) in an accessible way for graduate students of all disciplines, requiring no prior background in computer science or technology. Explores fundamental AI concepts, including decision-making models, neural networks, rule-based systems, probabilistic reasoning and AI-driven problem-solving techniques. Focuses on real-world applications across various fields, helping students understand how AI impacts research, business, health care and society. Ethical considerations are a key component, with special attention to the importance of transparency and fairness in AI systems and how explainability influences trust and accountability.\u003C/p>",{"title":46,"category":47,"description":48,"youtubeVideoId":25,"youtubeVideoDuration":25,"youtubeVideoUploadDate":25},"Computational Methods in Environmental Health","Elective","\u003Cp>In this course, you’ll develop research computing skills and peer review graduate-level project proposals. Topics may include the use of high-performance computing, integrative writing skills for an interdisciplinary audience, oral presentation skills and topics tailored to the appropriate lay or technical audience and writing for a wide range of journals.\u003C/p>",{"title":50,"category":47,"description":51,"youtubeVideoId":25,"youtubeVideoDuration":25,"youtubeVideoUploadDate":25},"Applied Mathematics Techniques in Biology","\u003Cp>In this course, you’ll study mathematical techniques and applications representative of a range of applied mathematics topics.\u003C/p>",{"title":53,"category":47,"description":54,"youtubeVideoId":25,"youtubeVideoDuration":25,"youtubeVideoUploadDate":25},"Database Systems and Cloud Computing","\u003Cp>In this course, you’ll learn about the design and implementation of databases for scientific applications.\u003C/p>",{"title":56,"category":47,"description":57,"youtubeVideoId":25,"youtubeVideoDuration":25,"youtubeVideoUploadDate":25},"Molecular Biology","\u003Cp>In this course, you’ll gain a comprehensive understanding of the human genome, recent developments and next-generation sequencing techniques, including the preparation of DNA samples, as well as principles of the new-generation sequencing assay formats.\u003C/p>",{"title":59,"category":47,"description":60,"youtubeVideoId":25,"youtubeVideoDuration":25,"youtubeVideoUploadDate":25},"Evolutionary Biology ","\u003Cp>In this course, you’ll learn about biological diversity, relationships between form and function, processes of growth and development in individuals and populations, biomes and organism-environment relationships, populations and ecosystem function.\u003C/p>",{"title":62,"category":47,"description":63,"youtubeVideoId":25,"youtubeVideoDuration":25,"youtubeVideoUploadDate":25},"Advanced Topics in Human Forensic DNA","\u003Cp>In this course, you’ll examine the science of current forensic DNA typing methods by focusing on the technology behind STR, Y-STR and mtDNA typing, real-time PCR, serology tests, capillary electrophoresis, expert systems and statistics.\u003C/p>",{"title":65,"category":47,"description":66,"youtubeVideoId":25,"youtubeVideoDuration":25,"youtubeVideoUploadDate":25},"Foundations of Bioinformatics Methods I","\u003Cp>Surveys methods and theories underlying the field of biomedical informatics and data science. Explores techniques in mathematics, logic, decision science, computer science, engineering, cognitive science, management science and epidemiology and demonstrates the application to health care and biomedicine.\u003C/p>",{"title":68,"category":47,"description":69,"youtubeVideoId":25,"youtubeVideoDuration":25,"youtubeVideoUploadDate":25},"Fundamentals of Health Informatics","\u003Cp>Offers an overview of the field of health informatics with emphasis on clinical informatics. Combines perspectives from medicine and computer science to use computers and information in health care and the health sciences. 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Combines varied perspectives from medicine and computer/information/organization science for use of computers and information in health care and the health sciences.\u003C/p>",{"title":92,"category":47,"description":93,"youtubeVideoId":25,"youtubeVideoDuration":25,"youtubeVideoUploadDate":25},"Applied Biostatistics in Medicine and Informatics","\u003Cp>Comprehensive treatment of the statistical methods used most often to analyze quantitative data collected in medical and biomedical informatics studies including clinical trials, epidemiologic studies, studies of the accuracy and performance of screening and diagnostic tests, and studies to develop predictive models. Students learn to use statistical software packages to analyze biomedical data.\u003C/p>",{"title":95,"category":47,"description":96,"youtubeVideoId":25,"youtubeVideoDuration":25,"youtubeVideoUploadDate":25},"Translational Bioinformatics","\u003Cp>Provides an introduction to bioinformatics methods and applications used in the field of translational medical research. Topics include bioinformatics data acquisition and management, analysis methodologies, and applications.\u003C/p>",{"title":98,"category":47,"description":99,"youtubeVideoId":25,"youtubeVideoDuration":25,"youtubeVideoUploadDate":25},"Molecular Genetics and Genomics","\u003Cp>Advanced study of genetics, focusing on the molecular basis of inheritance and gene expression in eukaryotes and prokaryotes, and study of genomics, or the high-throughput analysis of the entire organism's genes and their function. Knowledge of general genetics recommended before registering for this course.\u003C/p>",{"title":101,"category":47,"description":102,"youtubeVideoId":25,"youtubeVideoDuration":25,"youtubeVideoUploadDate":25},"Quantitative Methods in Conservation and Ecology","\u003Cp>Students will develop mathematical models of ecological and natural resource systems and use the models to better understand and inform management of ecosystems.\u003C/p>",{"title":104,"category":47,"description":105,"youtubeVideoId":25,"youtubeVideoDuration":25,"youtubeVideoUploadDate":25},"Cloud-based Remote Sensing","\u003Cp>Covers the foundation of remote sensing of earth system using a modern cloud-based remote sensing platform, Google Earth Engine (GEE). Covers the theory, analysis methods, sensors and uses of multiple remote sensing data in GEE (i.e., Landsat, Sentinel, Planet) to conduct earth system research and applications.\u003C/p>","Prepare for jobs in bioinformatics, data science and more","\u003Cp>In this program, you’ll gain analytical skills in ecological, environmental and other biological applications that prepare you to work in emerging areas of interdisciplinary research. Upon graduation, you’ll be equipped for positions at consulting firms, government agencies and non-governmental organizations. Career examples include, but aren’t limited to:\u003C/p>","https://cms.asuonline.asu.edu/sites/g/files/litvpz1971/files/2021-12/bioCareer_0.jpg","A graduate of ASU Online’s biological data science master’s program works on a laptop.",[111,113,115,117,119,121,123],{"title":112,"description":25},"Biostatistician",{"title":114,"description":25},"Bioinformatics scientist",{"title":116,"description":25},"Clinical data manager",{"title":118,"description":25},"Computer and information research scientist",{"title":120,"description":25},"Database administrator",{"title":122,"description":25},"Environmental scientist",{"title":124,"description":25},"Statistician","How to apply","\u003Cp>Applicants to the Master of Science in biological data science program must fulfill the requirements of both the Graduate College and New College of Interdisciplinary Arts and Sciences.\u003C/p>",[128,131],{"title":129,"description":130},"Application requirements","\u003Cp>Applicants are eligible to apply to the program if they’ve earned a bachelor's or master's degree in a related field such as biology, mathematics, statistics or computing, as well as unrelated fields from a regionally accredited institution.\u003C/p>\u003Cp>Applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00=\"A\") in the last 60 hours of their first bachelor's degree program or a minimum cumulative GPA of 3.00 (scale is 4.00=\"A\") in an applicable master's degree program.\u003C/p>\u003Cp>The admissions committee reviews applications holistically and may consider applicants with a GPA below 3.00 if they’ve demonstrated a strong past performance in related science coursework.\u003C/p>\u003Cp>\u003Cstrong>All applicants must submit:\u003C/strong>\u003C/p>\u003Cul>\u003Cli data-list-item-id=\"e95c1495d8f712732ec491bb2dd868ed7\">Graduate admission application and application fee.\u003C/li>\u003Cli data-list-item-id=\"ecba6cbd7bb79d8bdb32d7848fd18b95f\">Official transcripts.\u003C/li>\u003Cli data-list-item-id=\"ee96694e44f18cf8807e3b724659790fe\">Up-to-date curriculum vitae or resume.\u003C/li>\u003Cli data-list-item-id=\"ee70aa65386bc70366ed033a0264329c8\">Statement of purpose*.\u003C/li>\u003Cli data-list-item-id=\"ecd93048ee2e77cb40b4bb45d3d11c9e9\">Optional letters of recommendation.**\u003C/li>\u003C/ul>\u003Cp>\u003Cstrong>*The statement of purpose must answer the specific prompts below:\u003C/strong>\u003C/p>\u003Col>\u003Cli data-list-item-id=\"e7f04260ca3e7d4d7263a7461e26d6162\">Describe your career goals and how a master’s degree in biological data science will help you achieve those goals (250 words or less).\u003C/li>\u003Cli data-list-item-id=\"e188cf65621e24daaec139befa417fb06\">Biological data science is a discipline that spans a broad range of biological topics from molecular biology to ecology and uses a variety of computational methods. 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You do not need to complete this section if you feel that your application meets all requirements for admission into the program (250 words or less).\u003C/li>\u003C/ol>\u003Cp>\u003Cstrong>**Letters of recommendation:  \u003C/strong>\u003C/p>\u003Cp>Applicants whose undergraduate record, academic preparation or area of study may not closely align with the program’s requirements are encouraged to submit the names of up to two recommenders who can speak to their academic ability, preparation or professional potential. \u003C/p>\u003Cp>If you wish to apply without letters of recommendation, list the following as the recommendation contact instead:\u003C/p>\u003Cp>\u003Cstrong>First name\u003C/strong>: John; \u003Cstrong>Last name\u003C/strong>: Doe; \u003Cstrong>Company\u003C/strong>: ASU; \u003Cstrong>Email\u003C/strong>: NCGradAdmissions@asu\u003C/p>",{"title":132,"description":133},"Additional admission information","\u003Cp>An applicant whose native language is not English (regardless of current residency) must provide proof of English proficiency.\u003C/p>","Study at the most innovative university in the nation","\u003Cp>ASU is a global university recognized for its commitment to innovation, research and high-quality academic programs. Our university has been recognized with peer-reviewed honors from U.S. News & World Report.\u003C/p>",[137,140,143,146],{"title":138,"description":139},"#1","\u003Cp>in the U.S. for innovation for 12 consecutive years, ahead of Stanford and MIT.\u003C/p>",{"title":141,"description":142},"Top 10","\u003Cp>best online bachelor’s programs.\u003C/p>",{"title":144,"description":145},"Top 10%","\u003Cp>best global universities.\u003C/p>",{"title":147,"description":148},"80%","\u003Cp>of graduates reported that their experiences at ASU inspired them to explore new career opportunities.\u003C/p>",[],false,"2027","GP0258",[154,161,167,173],{"id":155,"title":156,"nextStartDate":18,"category":157,"detailPage":159,"degreeImage":160},"e395db8f-2d6d-4c51-8748-6208d88533a9","Computational Life Sciences (Graduate Certificate)",{"title":158},"Certificates","/online-degree-programs/certificates/computational-life-science-graduate-certificate/","https://cms.asuonline.asu.edu/sites/g/files/litvpz1971/files/program-images/180926-Thunderbird-Brand-1706-JO.jpg",{"id":162,"title":163,"nextStartDate":18,"category":164,"detailPage":165,"degreeImage":166},"ad601d3e-6d56-4837-90bb-5415f8facb14","Computer Science (MCS)",{"title":29},"/online-degree-programs/graduate/computer-science-mcs/","https://cms.asuonline.asu.edu/sites/g/files/litvpz1971/files/program-images/CIDSE-Software-Lindquist-5197a.jpg",{"id":168,"title":169,"nextStartDate":18,"category":170,"detailPage":171,"degreeImage":172},"259fabeb-0245-4ec0-beaf-d5ce10c31d78","Health Informatics (MAS)",{"title":29},"/online-degree-programs/graduate/master-advanced-study-health-informatics/","https://cms.asuonline.asu.edu/sites/g/files/litvpz1971/files/program-images/_20160402-S.H.O.W.-clinic-0042.jpg",{"id":174,"title":175,"nextStartDate":18,"category":176,"detailPage":177,"degreeImage":178},"17148f5c-c35b-4db2-8164-1c75bd7b8621","Biomedical Diagnostics (MS)",{"title":29},"/online-degree-programs/graduate/master-science-biomedical-diagnostics/","https://cms.asuonline.asu.edu/sites/g/files/litvpz1971/files/program-images/46835830715_4256b17067_k.jpg","Will my diploma say 'online'?","\u003Cp>No, Arizona State University’s diplomas don’t specify whether you earn your degree online or in person. 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