Degree programmes Department of MCM

General information about DPs DP, code The degree program Length of study, years Awarded academic degree Bachelor degree, 5В070500 Mathematical and Computer Modeling 4 Bachelor of Engineering and Technology Master degree, 6М070500 2 Master of Technical Sciences Bachelor degree, 5B060200 Computer Science Bachelor of Science Bachelor degree, 5B100200 Systems of Information Security Bachelor of Military Affairs and Security

Bachelor DP in MCM The aim of the MCM Bachelor DP is competitive specialists with professional skills in the field of mathematical and computer modeling, owning new information technologies in natural, socio-economic spheres and technology; owning methods of management, optimization and forecasting based on empirical data. Objectives of MCM Bachelor DP are: mastering techniques of constructing mathematical models for physical, natural, industrial, and economic processes; application of algorithms and methods of computational mathematics; mastering the skills necessary for computer modeling; training in database development, creation and management; development of the ability to program in high-level object-oriented languages; enabling students to create complex animation effects.

Correspondence of the curriculum blocks to the intended learning outcomes (Bachelor DP in MCM) General Culture (5.16%) Multilingual preparation (12.9%) ICT (3.87%) Fundamental Mathematics (16.77%) Fundamental Physics (3.87%) Basic Economics (3.23%) Programming (8.74%) Database (3.87%) Computational Mathematics (3.87%) Mathematical Modeling (7.1%) Computer Modeling (4.17%) Mathematical Optimization (3.87%) Data analysis (5.81%) Internship (9.03%) Final certification (2.58%) Physical training (5.16%) To demonstrate profound knowledge of the fundamentals of abstract and applied mathematics x To solve simple practical problems by applying fundamental mathematical methods To create simple, realistic mathematical models To use information and communication technologies, tools and techniques necessary for computing practice To use computer programming for problem solving To solve computational problems by using appropriate numerical and statistical procedures with a focus on accuracy, error control, and efficiency To use computational and statistical software platforms to develop and execute various mathematical procedures and numerical algorithms To communicate mathematical ideas orally and in writing, with precision, clarity and organization, using proper terminology and notation To understand professional, ethical, and social responsibilities To function effectively in an industrial environment and apply the gained skills to real-world problems; in addition, work in a team to accomplish a common goal

Master DP in MCM The aim of the Master’s program is to provide students with a high-quality scientific and technical training, advanced knowledge of and practical experience in applied mathematics and the use of information technology, enable them to perform in-depth research, advanced mathematical procedures, complex mathematical models and simulations. Objectives of the Master’s DP in MCM: to develop an ability to build the logic of reasoning and statements based on the interpretation of data integrated from different fields of science and technology, make judgments based on incomplete data; to enable students to handle a range (e.g. physical, industrial and environmental) of problems associated with conceptual models and their solutions; to prepare specialists who are able to implement various algorithms of mathematical models using appropriate numerical methods; to teach the fundamental analytical techniques and computational methods used to develop insight into the system behaviour; to develop the skills of modelling preproduction and production processes using relevant programming languages; to provide an understanding of the processes undertaken to arrive at a suitable mathematical model; to prepare specialists who are able to search for and solve errors in calculations and constructions to create the most effective practical models.

Correspondence of the curriculum blocks to the learning outcomes of the Master DPs in MCM. Intended learning outcomes General Culture (13.79%) Mathematical Modeling (32.78%) Computer Modeling (10.34%) Logics and Theory of Algorithms (15.51%) Internship (22.41%) Final certification (5.17%) To construct the complex mathematical models of the processes under study x To understand modern approaches and methodology used in creating mathematical models To carry out computational experiments and analyze their results To work with a wide range of techniques and software applied to solving the practical problems of optimization, numerical simulation and mathematical research To critically read research articles and practically implement the findings To write scientific and technical reports, reviews, publications based on the results of the studies

Bachelor DP in CS The CS DP aims to provide foundation for the students’ future work and careers in computation-based problem solving. The DP emphasizes development of analytical skills, acquisition of knowledge and understanding of systems, languages and tools required for effective computation-based problem solving. Objectives of Bachelor DP in CS are: to develop students’ intellectual ability to acquire fundamental computer science knowledge or/and concepts; to provide knowledge of data structures, databases, algorithms, computer architecture; to develop an ability to apply the principles of analysis and design to software development; to apply current technologies in designing and implementing computing solutions in various industries; to initiate and participate in innovative computing in various industries; to develop students' creative skills; to prepare students for competition in the labour market by improving their communication skills.  

Correspondence of the curriculum blocks to the intended learning outcomes (Bachelor DP in CS) General Culture Block (7.1%) Multilingual preparation (12.90%) ICT (3.87%) Fundamental Mathematics (9.03%) Programming and Development (14.84%) Design (3.87%) Database (5.81%) Computational Block (3.87%) Data Science and Machine Learning (9.68%) Security (2.58%) Application Development (9.68%) Internship (9.03 %) Final certification (2.58%) Physical training (5.16%) To apply the knowledge of fundamentals of mathematics and computing x To analyze and evaluate problems; spot and define the computing requirements appropriate to their solution To use the tools and techniques necessary for computing practice To apply, design and develop principles in the construction of software systems of various complexity To use computer programming for problem solving To function effectively in an industrial environment and apply the gained skills to real-world problems To work with software and hardware complexes To work in a team to accomplish a common goal To understand their professional, ethical, and social responsibilities

General structure of Bachelor DPs Cycle of the course/module Credits, No Total ECTS Percentage, % General Academic Courses (GAC) Compulsory Component 21 28 47 19,18 Elective Component 7 Basic Courses (BC) 69 115 47.26 48 Specialized Courses (SC) 5 32 53 21.92 27 Additional types of training min 14 23 9.59 Final examination 3 2.05 146 244 100 In the Republic of Kazakhstan credit points are named credits (C). The equivalent of 1 credit is 1.67 ECTS).

General structure of the Master DP in MCM Cycle of the course/module Credits, No Total ECTS Percentage, % credits Basic courses (BC) Compulsory Component 8 20 55 33.9 31.25 Elective Component 12 Specialized courses (SC) 2 22 61 37.29 34.66 Additional types of training min 13 46 22.03 26.14 Final examination 4 14 6.78 7.95 59 176 100 Credit conversion table : Type of training National credits ECTS credits Theoretical training 1 2.75 Pedagogical Internship Scientific Internship 4 Scientific Research Final examination 3.5

The following tables provide information about the enrollees’ composition, including holders of educational grants: DP Year Mathematical and Computer Modeling (Bachelor) No of submitted applications No of admitted students No of educational grant holders No of students studying on a fee basis 2010 39 26 19 7 2011 72 48 37 11 2012 69 46 34 12 2013 76 59 55 4 2014 61 47 38 9 2015 66 51 40 2016 63 44 2017 75 52 45 DP Year Computer Scince (Bachelor) No of submitted applications No of admitted students No of educational grant holders No of students studying on a fee basis 2010 36 29 - 2011 51 43 2012 27 23 2013 22 18 4 2014 37 30 12 2015 24 19 5 2016 28 20 8 2017 53 41 11

DP Year Mathematical and Computer Modeling (Master) No of submitted applications No of admitted students No of educational grant holders No of students studying on a fee basis 2012 46 22 20 2 2013 31/26 23 1 2014* - 2015 24 9 8 2016 25 13 10 3 2017 34 16 6

Students’ workload distribution over semesters (Bachelor DP in MCM) Number of credits(ECTS) Curriculum cycles 1st year 2nd year 3rd year 4th year Total Semesters 1st 2nd 3rd 4th 5th 6th 7th 8th General Education Courses (GEC) 10(17) - 3 (5) 2 (3) 28 (47) Basic Courses (BC) 9 (15) 11(18) 19(32) 17(28) 8(14) 3(5) 69 (115) Specialized Courses (SC) 8(13) 12(20) 12 (20) 32 (53) Total of theoretical training 21(35) 20(33) 16(27) 17 (28) 129 (215) Additional types of training 2(3) 4(7) 6(10) 1(2) 23 (39) Final examination 25(42) 26(43) 18 (30) 7(12) 155 (259)

Students’ workload distribution over semesters (Bachelor DP in CS) Number of credits(ECTS) Curriculum cycles 1st year 2nd year 3rd year 4th year Total Semesters 1st 2nd 3rd 4th 5th 6th 7th 8th General Education Courses (GEC) 13(22) 7(12) 3 (5) 5 (8) - 28 (47) Basic Courses (BC) 9 (15) 11 (18) 15(25) 14(24) 11(18) 6(10) 69 (115) Specialized Courses (SC) 12(20) 32 (53) Total of theoretical training 22(37) 18(30) 19 (32) 23(38) 17(28) 12 (20) 129 (215) Additional types of training 2(3) 4(7) 1(2) 23 (39) Final examination 24(40) 20(33) 25(42) 21(35) 13 (22) 155 (259)

The workload distribution over semesters is presented in the table below Number of credits (ECTS) Curriculum cycles 1st year 2nd year Total Semesters 1st 2nd 3rd 4th Basic Courses (BC) 8 (22) 6 (16) 6 (17) - 20 (55) Specialized Courses (SC) 4 (11) 12(33) 22 (61) Total of theoretical training 18(49) 12(34) 42 (116) Additional types of training 1 (4) 4 (14) 6 (21) 2 (7) 13 (46) Final examination 13(37) 22(63) 18(55) 59 (176)

Forms of examination The students’ current rating Mid-/end-of-term control Formative assessment of the courses’ learning outcomes is administered in various forms: computer-based tests, written midterm exams, colloquia, projects, coding exam (writing a program code) and their combinations

Final examination forms are: computer-based tests, written and oral exams, coding exams (writing program code), project-based exams. All kinds of internships and scientific research are assessed by report submission and defense. For the Physical Training course a differentiated credit is awarded. The final exams in DP include a complex state examination and defense of diploma projects/paper.

Examples of recognition of non-academic achievements of students Group Non-academic achievement Confirmation Points added Zhexenov Elnur MCM 141 3rd place in the contest of innovative projects (the best ecobusiness project) Certificate 50% Zhanabekov Zhandos MCM 143 Presentation at a research conference “Digital Kazakhstan 2017” The conference program and certificate 40% Ryskeldi Meiirzhan MCM 171 Publication of an article in the conference proceedings “VI Congress of the Turkic World Mathematical Society” Article reprint Mursaliyev Dauren MCM 153 Honorable mention at the Republican Student Olympiad in MCM 30%

According to the Law of the RK "On Education" article 52, the total number of the teaching staff members is calculated depending on its correlation with the number of students in the ratio of 8:1 – for the Bachelor DP and 4:1 – for the Master DP Student-teachers ratio DP Number of students Number of teachers Student-teacher ratio MCM (Bachelor degree) 187 24 7.79 CS (Bachelor degree) 111 25 4.44 SIS (Bachelor degree) 117 19 6.16 MCM (Master degree) 29 11 2.64 Specialty teachers’ breakdown by positions in the academic year 2017-2018 DP Position type MCM (Bachelor degree) CS SIS (Master degree) Professor 2 1 3 Associate Professor Assistant Professor 4 Senior Lecturer 7 11 12 Lecturer Tutor 5 Head trainer Total 24 25 19

Education ranking report (MCM 2015-2019)

Internships of students

Invited professors

Achievements of students